Updated on 2026/03/04

写真a

 
ARASE YUKI
 
Organization
School of Computing Professor
Title
Professor
Profile
I'm working on natural language processing with primary research interests in paraphrasing, English/Japanese machine translation, conversation systems, and educational applications for language learners.
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Degree

  • Ph.D. ( Osaka University )

Research Interests

  • Language learning support

  • Paraphrase

  • Natural language processing

  • 医療言語処理

Research Areas

  • Informatics / Intelligent informatics

Education

  • Osaka University   Graduate School, Division of Information Science

    - 2010.3

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    Country: Japan

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  • Osaka University   Graduate School, Division of Information Science

    - 2007.3

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    Country: Japan

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  • Osaka University   Faculty of Engineering

    - 2006.3

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    Country: Japan

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Research History

  • Institute of Science Tokyo (Tokyo Institute of Technology)   School of Computing   Professor

    2024.4

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  • Department of multimedia engineering, Graduate school of information science, Osaka University

    2014.6 - 2024.3

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  • Microsoft Research

    2010.4 - 2014.6

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  • Osaka University   Graduate School of Information Science and Technology

    2024.4

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    Country:Japan

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  • Visiting Researcher, RIKEN AIP

    2018.10 - 2021.3

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  • Osaka University Institute for Datability Science

    2018.4 - 2024.3

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  • Visiting Researcher, National Institute of Advanced Industrial Science and Technology, Artificial Intelligence Research Center

    2015.4

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Professional Memberships

  • The Association for Natural Language Processing

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  • Information Processing Society of Japan

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  • Association for Computational Linguistics (ACL)

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Committee Memberships

  • ACL Peer Review Standing Committee   Committee Member  

    2024.9   

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  • ACL (Association for Computational Linguistics) Executive Committee   Conference Officer, Members-at-Large  

    2024.1   

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  • Information Processing Society of Japan   Director  

    2022.6 - 2024.5   

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  • Asian Federation of Natural Language Processing (AFNLP)   Members-at-Large  

    2022.1 - 2024.12   

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  • 言語処理学会   理事  

    2020.3   

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  • 情報処理学会 自然言語処理研究会   幹事  

    2015.4 - 2019.3   

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  • The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)   Tutorial Co-Chair  

    2024.9 - 2025.8   

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  • International Conference on Computational Linguistics (COLING)   Area Chair  

    2023.9 - 2024.8   

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  • The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)   Publicity and Social Media Chair  

    2023.8 - 2024.7   

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  • The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023)   Program Chair  

    2023.3 - 2023.11   

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  • 第22回情報科学技術フォーラム(FIT2023)   プログラム委員長  

    2022.10 - 2023.9   

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  • Conference on Empirical Methods in Natural Language Processing   Reviewer  

    2022.7 - 2022.12   

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  • AAMT/Japio特許翻訳研究会   委員  

    2022.4   

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  • ACL Rolling Review   Action Editors  

    2021.11   

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  • Conference on Empirical Methods in Natural Language Processing   Area Chair  

    2021.3 - 2021.11   

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  • International Workshop on Symbolic-Neural Learning (SNL-2021)   Program Chair  

    2020.12 - 2021.7   

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  • Annual Meeting of the Association for Computational Linguistics   Area Chair  

    2020.10 - 2021.8   

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  • The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)   Publications Chair  

    2020.6 - 2021.7   

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  • 「情報科学の達人」プログラム   メンター  

    2020.4 - 2022.3   

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  • 次世代計算基盤検討部会   委員  

    2020.4 - 2022.3   

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    Committee type:Government

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  • Annual Meeting of the Association for Computational Linguistics   Area Chair  

    2019.11 - 2020.7   

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  • 東京大学   学位論文審査委員  

    2019.11 - 2020.1   

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  • International Workshop on Symbolic-Neural Learning (SNL-2020)   PC Chair  

    2019.8 - 2020.7   

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  • City University of Hong Kong   External PhD examiner  

    2019.2 - 2019.9   

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  • NLP若手の会 (YANS)   顧問  

    2018.9 - 2019.9   

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  • NLP若手の会 (YANS)   委員長  

    2017.9 - 2018.9   

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  • 言語処理学会年次大会   運営委員  

    2017.8 - 2019.3   

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  • 情報論的学習理論ワークショップ(IBIS)   運営委員  

    2017.6 - 2017.11   

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  • NTCIR (NII Testbeds and Community for Information access Research)   Task Organizer  

    2016.12 - 2017.12   

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  • 対話破綻検出チャレンジ2   実行委員  

    2016.7 - 2016.10   

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  • NLP若手の会 (YANS)   運営委員  

    2016.4 - 2018.3   

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  • 言語処理学会編集委員会   編集委員  

    2015.9 - 2019.9   

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  • 電子情報通信学会 データ工学研究専門委員会   専門委員  

    2015.6 - 2017.5   

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  • 電子情報通信学会 英文論文誌小特集編集委員会   編集委員  

    2015.6 - 2017.3   

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  • 情報処理学会 データベースシステム研究運営委員会   運営委員  

    2015.4 - 2019.3   

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  • 情報処理学会 自然言語処理研究運営委員会   運営委員  

    2014.8 - 2015.3   

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  • 情報処理学会 自然言語処理研究会   運営委員  

    2014.8 - 2015.3   

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Papers

  • Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation Reviewed

    R. Miyano, Y. Arase

    Findings of the Association for Computational Linguistics: ACL 2025   19353 - 19366   2025.7

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment Reviewed

    Xuanxin WU, Yuki Arase

    ACM Transactions on Intelligent Systems and Technology   2025.6

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Association for Computing Machinery (ACM)  

    Sentence simplification, which rewrites a sentence to be easier to read and understand, is a promising technique to help people with various reading difficulties. With the rise of advanced large language models (LLMs), evaluating their performance in sentence simplification has become imperative. Recent studies have used both automatic metrics and human evaluations to assess the simplification abilities of LLMs. However, the suitability of existing evaluation methodologies for LLMs remains in question. First, the suitability of current automatic metrics on LLMs’ simplification evaluation is still uncertain. Second, current human evaluation approaches in sentence simplification often fall into two extremes: they are either too superficial, failing to offer a clear understanding of the models’ performance, or overly detailed, making the annotation process complex and prone to inconsistency, which in turn affects the evaluation’s reliability. To address these problems, this study provides in-depth insights into LLMs’ performance while ensuring the reliability of the evaluation. We design an error-based human annotation framework to assess the LLMs’ simplification capabilities. We select both closed-source and open-source LLMs, including GPT-4, Qwen2.5-72B, and Llama-3.2-3B. We believe that these models offer a representative selection across large, medium, and small sizes of LLMs. Results show that GPT-4 generally generates fewer erroneous simplification outputs compared to the current state-of-the-art. However, LLMs have their limitations, as seen in GPT-4’s struggles with lexical paraphrasing. Results show that LLMs generally generate fewer erroneous simplification outputs compared to the previous state-of-the-art. However, LLMs have their limitations, as seen in GPT-4’s and Qwen2.5-72B’s struggle with lexical paraphrasing. Furthermore, we conduct meta-evaluations on widely used automatic metrics using our human annotations. We find that these metrics lack sufficient sensitivity to assess the overall high-quality simplifications, particularly those generated by high-performance LLMs 1 .

    DOI: 10.1145/3744744

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  • Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition Reviewed International coauthorship

    G. Li, Y. Arase, N. Crespi

    Proceedings of Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL)   492 - 507   2025.4

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  • 意味と表層の類似度を制御可能な言い換えによるデータ拡張 Reviewed

    小笠 雄也, 梶原 智之, 荒瀬 由紀

    自然言語処理   31 ( 4 )   1458 - 1486   2024.12

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    Authorship:Last author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Edit-Constrained Decoding for Sentence Simplification Reviewed

    T. Zetsu, Y. Arase, T. Kajiwara

    Proc. of EMNLP 2024 Findings   7161 - 7173   2024.11

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Self-Ensemble: Integration of <i>N</i>-best Hypotheses by Lexically Constrained Decoding Reviewed

    Ryota Miyano, Tomoyuki Kajiwara, Yuki Arase

    Journal of Natural Language Processing   31 ( 2 )   680 - 706   2024.6

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    Authorship:Last author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Association for Natural Language Processing  

    DOI: 10.5715/jnlp.31.680

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  • Controllable Paraphrase Generation for Semantic and Lexical Similarities, in Proc. of Joint International Conference on Computational Linguistics, Language Resources and Evaluation Reviewed

    Y. Ogasa, T. Kajiwara, Y. Arase

    Proc. of Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)   3927 - 3942   2024.5

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Profiling English Sentences Based on CEFR Levels Reviewed

    S. Uchida, Y. Arase, T. Kajiwara

    ITL-International Journal of Applied Linguistics   2023.12

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    Language:English   Publishing type:Research paper (scientific journal)  

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  • Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding Reviewed

    R. Miyano, T. Kajiwara, Y. Arase

    in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)   2023.12

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  • Unbalanced Optimal Transport for Unbalanced Word Alignment Reviewed

    Y. Arase, H. Bao, S. Yokoi

    in Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL 2023)   3966 - 3986   2023.7

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • CEFR-based Sentence Difficulty Annotation and Assessment Reviewed

    Y. Arase, S. Uchida, T. Kajiwara

    in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)   6206 - 6219   2022.12

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Controllable Text Simplification with Deep Reinforcement Learning Reviewed

    D. Yanamoto, T. Ikawa, T. Kajiwara, T. Ninomiya, S. Uchida, Y. Arase

    Proc. of Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022)   398 - 404   2022.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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    Other Link: https://dblp.uni-trier.de/rec/conf/ijcnlp/2022-2

  • Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation Reviewed

    Y. Kuroda, T. Kajiwara, Y. Arase, T. Ninomiya

    Proc. of International Conference on Computational Linguistics (COLING 2022)   5240 - 5245   2022.10

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    Other Link: https://dblp.uni-trier.de/rec/conf/coling/2022

  • Definition Modelling for Appropriate Specificity Reviewed

    H. Huang, T. Kajiwara, Y. Arase

    Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP2021)   2499 - 2509   2021.11

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  • Distilling Word Meaning in Context from Pre-trained Language Model Reviewed

    Y. Arase, T. Kajiwara

    Findings of Conference on Empirical Methods in Natural Language Processing   534 - 546   2021.11

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • DIRECT: Direct and Indirect Responses in Conversational Text Corpus Reviewed

    J. Takayama, T. Kajiwara, Y. Arase

    Findings of Conference on Empirical Methods in Natural Language Processing   1980 - 1989   2021.11

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  • Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation Reviewed

    N. Tiyajamorn, T. Kajiwara, Y. Arase, M. Onizuka

    Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP2021)   7764 - 7774   2021.11

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

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    Other Link: https://dblp.uni-trier.de/rec/conf/emnlp/2021-1

  • Distinct Label Representations for Few-Shot Text Classification Reviewed

    Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, Yuki Arase

    Proc. of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP2021)   831 - 836   2021.8

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

    DOI: 10.18653/v1/2021.acl-short.105

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    Other Link: https://dblp.uni-trier.de/conf/acl/2021-2

  • Transfer fine-tuning of BERT with phrasal paraphrases Reviewed

    Yuki Arase, Junichi Tsujii

    Computer Speech & Language   66   101164 - 101164   2021.3

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.csl.2020.101164

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  • Tiny Word Embeddings Using Globally Informed Reconstruction Reviewed

    S. Ohashi, M. Isogawa, T. Kajiwara, Y. Arase

    International Conference on Computational Linguistics (COLING2020)   2020.12

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Compositional Phrase Alignment and Beyond Reviewed

    Y. Arase, J. Tsujii

    Conference on Empirical Methods in Natural Language Processing (EMNLP2020)   1611 - 1623   2020.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Consistent Response Generation with Controlled Specificity Reviewed

    J. Takayama, Y. Arase

    Findings of the Association for Computational Linguistics: EMNLP 2020   4418 - 4427   2020.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.18653/v1/2020.findings-emnlp.396

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    Other Link: https://dblp.uni-trier.de/conf/emnlp/2020f

  • Text Classification with Negative Supervision. Reviewed

    Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, Chenhui Chu, Yuki Arase

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics(ACL)   351 - 357   2020.7

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

    DOI: 10.18653/v1/2020.acl-main.33

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    Other Link: https://dblp.uni-trier.de/conf/acl/2020

  • Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation Reviewed

    T. Kajiwara, B. Miura, Y. Arase

    Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)   2020.2

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  • Dialogue breakdown detection robust to variations in annotators and dialogue systems. Reviewed

    Junya Takayama, Eriko Nomoto, Yuki Arase

    Comput. Speech Lang.   54   31 - 43   2019.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.csl.2018.08.007

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  • Transfer Fine-Tuning: A BERT Case Study Reviewed

    Yuki Arase, Jun’ichi Tsujii

    Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)   2019

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    Authorship:Lead author   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

    DOI: 10.18653/v1/d19-1542

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  • SPADE: Evaluation Dataset for Monolingual Phrase Alignment Reviewed

    Proceedings of the Eleventh International Conference on Language Resources and Evaluation   2018.5

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  • Monolingual Phrase Alignment on Parse Forests Reviewed

    Yuki Arase, Jun'ichi Tsujii

    Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)   1 - 11   2017.9

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  • MedSummRAG: Domain-Specific Retrieval for Medical Summarization Reviewed

    G. Luo, Y. Arase

    Proceedings of the Workshop on Biomedical Language Processing (BioNLP)   27 - 33   2025.8

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  • Light-Weight Hallucination Detection using Contrastive Learning for Conditional Text Generation Reviewed

    M. Yamada, Y. Arase

    Proceedings of the Annual Meeting of the Association for Computational Linguistics: Student Research Workshop   687 - 694   2025.7

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  • Evaluation Dataset for Japanese Medical Text Simplification Reviewed

    Koki Horiguchi, Tomoyuki Kajiwara, Yuki Arase, Takashi Ninomiya

    Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)   219 - 225   2024

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

    DOI: 10.18653/v1/2024.naacl-srw.23

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  • Controllable Text Simplification Using Lexically Constrained Decoding Based on Edit Operation Prediction Reviewed

    Tatsuya Zetsu, Tomoyuki Kajiwara, Yuki Arase

    Journal of Natural Language Processing   30 ( 3 )   991 - 1010   2023.9

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Association for Natural Language Processing  

    DOI: 10.5715/jnlp.30.991

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  • Distractor Generation for Fill-in-the-Blank Exercises by Question Type Reviewed

    N. Yoshimi, T. Kajiwara, S. Uchida, Y. Arase, T. Ninomiya

    in Proc. of the ACL Student Research Workshop (SRW)   276 - 281   2023.7

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  • Monolingual Phrase Alignment as Parse Forest Mapping Reviewed

    S. Kadotani, Y. Arase

    in Proc. of the Joint Conference on Lexical and Computational Semantics (*SEM 2023)   449 - 455   2023.7

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

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  • Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification Reviewed

    T. Zetsu, T. Kajiwara, Y. Arase

    in Proc. of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)   147 - 153   2022.12

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  • JADE: Corpus for Japanese Definition Modelling Reviewed

    H. Huang, T. Kajiwara, Y. Arase

    Proc. of Language Resources and Evaluation Conference (LREC 2022)   6884 - 6888   2022.6

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  • Unsupervised Quality Estimation via Multilingual Denoising Autoencoder Reviewed

    Tetsuro Nishihara, Yuji Iwamoto, Masato Yoshinaka, Tomoyuki Kajiwara, Yuki Arase, Takashi Ninomiya

    Journal of Natural Language Processing   29 ( 2 )   669 - 687   2022.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Association for Natural Language Processing  

    DOI: 10.5715/jnlp.29.669

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  • 対話における間接的応答と直接的応答からなる言い換えコーパスの構築と分析 Reviewed

    高山隼矢, 梶原智之, 荒瀬由紀

    自然言語処理   29 ( 1 )   2022.3

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Construction and Analysis of a Dialogue Corpus with Paraphrase Pairs of Indirect and Direct Responses Reviewed

    Junya Takayama, Tomoyuki Kajiwara, Yuki Arase

    Journal of Natural Language Processing   29 ( 1 )   84 - 111   2022

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    Publishing type:Research paper (scientific journal)   Publisher:Association for Natural Language Processing  

    DOI: 10.5715/jnlp.29.84

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  • Edit Distance Based Curriculum Learning for Paraphrase Generation Reviewed

    Sora Kadotani, Tomoyuki Kajiwara, Yuki Arase, Makoto Onizuka

    Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop   229 - 234   2021.8

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

    DOI: 10.18653/v1/2021.acl-srw.24

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  • Preordering Encoding on Transformer for Translation Reviewed

    Y. Kawara, C. Chu, Y. Arase

    IEEE/ACM Transactions on Audio, Speech, and Language Processing   2021.5

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  • 大域的な類似度に基づく単語分散表現の圧縮 Reviewed

    大橋空, 五十川真生, 梶原智之, 荒瀬由紀

    自然言語処理   28 ( 1 )   235 - 252   2021.3

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  • 単語分散表現に基づく単一言語内フレーズアライメント手法

    吉仲真人, 梶原智之, 荒瀬由紀

    自然言語処理   pp.581-584 ( 2 )   2021.3

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  • Smart City Data Analysis via Visualization of Correlated Attribute Patterns. Reviewed

    Yuya Sasaki 0001, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng

    Proceedings of the 24th International Conference on Extending Database Technology(EDBT)   650 - 653   2021

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    DOI: 10.5441/002/edbt.2021.75

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    Other Link: https://dblp.uni-trier.de/db/conf/edbt/edbt2021.html#0001HNOWHOASDHP21

  • Text Simplification with Reinforcement Learning using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity Reviewed

    A. Nakamachi, T. Kajiwara, Y. Arase

    Proc. of AACL Student Research Workshop (SRW)   2020.12

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  • Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain Reviewed

    T. Hayakawa, Y. Arase

    in Proc. of Annual Conference of the European Association for Machine Translation (EAMT 2020)   155 - 164   2020.11

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  • テキスト平易化における語彙制約に基づく難易度制御 Reviewed

    西原大貴, 梶原智之, 荒瀬由紀

    自然言語処理   27巻2号 ( 2 )   2020.6

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  • Annotation of Adverse Drug Reactions in Patients' Weblogs Reviewed

    Y. Arase, T. Kajiwara, C. Chu

    Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)   2020.5

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  • SAPPHIRE: Simple Aligner for Phrasal Paraphrase with Hierarchical Representation Reviewed

    M. Yoshinaka, T. Kajiwara, Y. Arase

    Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)   2020.5

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  • 深層強化学習によるテキスト平易化における文難易度報酬の適用

    中町礼文, 梶原智之, 荒瀬由紀

    pp. 225-228   2020.3

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  • Distant Supervision を用いた情報量を制御可能な雑談応答生成

    高山隼矢, 荒瀬由紀

    言語処理学会年次大会発表論文集(Web)   pp. 323-326   2020.3

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  • 文脈を考慮した単語ベクトル集合からの単語領域表現

    山内崇史, 梶原智之, 荒瀬由紀

    pp.953-956   2020.3

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  • 事前並び替え位置表現を用いたTransformerによる日英機械翻訳

    瓦祐希, Chenhui Chu, 荒瀬由紀

    pp. 465-468   2020.3

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  • Word Rewarding Model with Bilingual Dictionary for Neural Machine Translation (in Japanese) Reviewed

    Yuto Takebayashi, Chenhui Chu, Yuki Arase, Masaaki Nagata

    Journal of Natural Language Processing (JNLP)   26巻4号 pp. 711-731 ( 4 )   711 - 731   2019.12

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  • 多義語分散表現の文脈化 Reviewed

    芦原和樹, 梶原智之, 荒瀬由紀, 内田諭

    自然言語処理   26 ( 4 )   689 - 710   2019.12

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  • Contextualized context2vec Reviewed

    Kazuki Ashihara, Tomoyuki Kajiwara, Yuki Arase, Satoru Uchida

    Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)   pp. 397–406   2019.11

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    DOI: 10.18653/v1/d19-5552

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  • 事前並び替えによる英日Transformerモデルの翻訳精度向上

    瓦祐希, Chenhui Chu, 荒瀬由紀

    2019.8

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  • 文脈ベクトルと細分化した単語ベクトルを用いた語彙的換言

    芦原和樹, 梶原智之, 荒瀬由紀, 内田諭

    2019.8

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  • 言い換えエラー分析のための言い換え分解ツールの試作

    吉仲真人, 梶原智之, 荒瀬由紀

    2019.8

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  • Comparison and Analysis of 2-to-2 and Hierarchical RNN Models on Japanese-to-English Context-Aware Translation

    Mishra Vipul, Yuki Kawara, Chenhui Chu, Yuki Arase

    2019.8

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  • 文脈化された単語ベクトルからの単語領域表現

    山内崇史, 梶原智之, 荒瀬由紀

    2019.8

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  • Responsive and Self-Expressive Dialogue Generation Reviewed

    Kozo Chikai, Junya Takayama, Yuki Arase

    NLP FOR CONVERSATIONAL AI   139 - 149   2019.8

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  • Relevant and Informative Response Generation using Pointwise Mutual Information Reviewed

    Junya Takayama, Yuki Arase

    NLP FOR CONVERSATIONAL AI   133 - 138   2019.8

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  • 文符号化器のマルチタスク学習によるテキスト分類モデルの頑健化

    大橋空, 高山隼矢, 梶原智之, ChenhuiChu, 荒瀬由紀

    情報処理学会研究報告(Web)   2019 ( NL-241 )   1 - 8   2019.8

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  • スタイル変換のための折り返し翻訳に基づく事前訓練

    梶原智之, 三浦びわ, 荒瀬由紀

    1 - 8   2019.8

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  • ニューラルNLPモデルの前編集としての言い換え生成の検討

    西原大貴, 梶原智之, 荒瀬由紀, 藤田篤

    2019.8

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  • 強化学習を用いた難易度制御可能なテキスト平易化

    中町礼文, 梶原智之, 荒瀬由紀

    2019.8

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  • Controllable Text Simplification with Lexical Constraint Reviewed

    西原大貴, 梶原智之, 荒瀬由紀, 荒瀬由紀

    自然言語処理   27 ( 2 )   260 - 266   2019.7

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  • Dialogue-Act Prediction of Future Responses Based on Conversation History. Reviewed

    Koji Tanaka, Junya Takayama, Yuki Arase

    197 - 202   2019.7

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    DOI: 10.18653/v1/p19-2027

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    Other Link: https://dblp.uni-trier.de/conf/acl/2019-2

  • 対話システムにおける履歴を考慮した応答の対話行為推定

    田中昂志, 高山隼矢, 荒瀬由紀

    2019.6

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  • ソフトな語彙制約によるテキスト難易度制御の検討

    西原大貴, 梶原智之, 荒瀬由紀

    1 - 6   2019.6

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  • 統計的機械翻訳のためのRecursive Neural Networkによる事前並び替えと分析 Reviewed

    瓦祐希, Chenhui Chu, 荒瀬由紀

    自然言語処理   26 ( 1 )   155 - 178   2019.3

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  • 大域的な類似度と部分文字列を用いた未知語分散表現の生成手法

    五十川真生, 梶原智之, 荒瀬由紀

    1049 - 1052   2019.3

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  • CEFRレベルを付与した語彙的換言データセットの構築

    芦原和樹, 荒瀬由紀, 内田諭

    803 - 806   2019.3

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  • ニューラル機械翻訳における事前並び替えの影響分析

    瓦祐希, Chenhui Chu, 荒瀬由紀

    1455 - 1458   2019.3

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  • 自己相互情報量を用いた特徴語彙予測に基づく雑談応答生成

    高山隼矢, 荒瀬由紀

    643 - 646   2019.3

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  • Contextualized Word Representations for Multi-Sense Embedding Reviewed

    K. Ashihara, T. Kajiwara, Y. Arase, S. Uchida

    2018.12

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  • Osaka University MT Systems for WAT 2018: Rewarding, Preordering, and Domain Adaptation Reviewed

    Y. Kawara, Y. Takebayashi, C. Chu, Y. Arase

    1120 - 1126   2018.12

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  • テキストに基づく単一オブジェクト画像生成における描画の高品質化

    野本英梨子, Chenhui Chu, 荒瀬由紀

    1 - 9   2018.12

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  • Word Rewarding for Adequate Neural Machine Translation Reviewed

    Y. Takebayashi, C. Chu, Y. Arase, M. Nagata

    14 - 22   2018.10

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  • 依存構造に基づく単語から語義の分散表現への細分化

    芦原和樹, 梶原智之, 荒瀬由紀, 内田諭

    1 - 7   2018.9

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  • 依存構造に基づく単語から語義の分散表現への細分化

    芦原和樹, 梶原智之, 荒瀬由紀, 内田諭

    2018.9

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  • 大域的な類似度を考慮した未知語分散表現

    五十川真生, 梶原智之, 荒瀬由紀

    2018.8

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  • テキスト平易化における難易度の制御

    西原大貴, 梶原智之, 荒瀬由紀

    2018.8

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  • 医療ドメインにおける単語分散表現を用いた文単位の言い換え認識

    大橋空, 高山隼矢, 梶原智之, Chenhui Chu, 荒瀬由紀

    2018.8

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  • ニューラル機械翻訳における事前並び替え手法の効果の検証

    瓦祐希, Chenhui Chu, 荒瀬由紀

    2018.8

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  • スタイル変換のためのリファレンスなし教師あり学習

    三浦びわ, 梶原智之, 荒瀬由紀

    2018.8

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  • Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation Reviewed

    Y. Kawara, C. Chu, Y. Arase

    21 - 27   2018.7

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  • 単語分散表現による語義の近似を用いた語彙平易化手法

    高田祥平, 荒瀬由紀, 内田諭

    2018.6

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  • "深層学習時代の" ゼロから始める自然言語処理 Invited

    荒瀬 由紀

    2018.6

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  • ニューラル機械翻訳における単語予測の重要性について

    竹林佑斗, Chenhui Chu, 荒瀬由紀, 永田 昌明

    2018.6

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  • 意味グラフに基づくテキスト類似性尺度の提案

    田中貴秋, 永田昌明, 荒瀬由紀, 鬼塚真

    2018.6

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  • 雑談対話システムのための未知語に頑健な興味推定手法

    田中昂志, 高山隼矢, 荒瀬由紀

    情報処理学会研究報告(Web)   2018 ( NL-235 )   1 - 5   2018.5

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  • CEFR-based Lexical Simplification Dataset Reviewed

    S. Uchida, S. Takada, Y. Arase

    2018.5

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  • 英語教育支援のための複単語表現平易化手法の検討

    芦原和樹, 高田祥平, 荒瀬由紀, 内田諭

    472 - 475   2018.3

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  • Recursive Neural Networkを用いた事前並び替えによる英日機械翻訳

    瓦祐希, Chenhui Chu, 荒瀬由紀

    33 - 36   2018.3

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  • Dialogue Breakdown Detection Considering Annotation Biases Reviewed

    J. Takayama, E. Nomoto, Y. Arase

    2017.12

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  • 英語教育支援のためのLexical Simplification: コロケーションスコアを用いたアプローチ

    高田祥平, 荒瀬由紀, 内田諭

    939 - 942   2017.3

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  • Performance of Japanese-to-Indonesian Machine Translation on Different Models

    Cosmas Krisna Adiputra, 荒瀬由紀

    757 - 760   2017.3

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  • 同時通訳のための述語動詞予測手法の検討

    竹林佑斗, 荒瀬由紀

    749 - 752   2017.3

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  • ユーザとの対話による発話・応答データ収集機構の検討

    五十川真生, 近井厚三, 荒瀬由紀

    779 - 782   2017.3

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  • Analysis of Similarity Measures between Short Text for the NTCIR-12 Short Text Conversation Task Reviewed

    K. Chikai, Y. Arase

    2016.6

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  • トレンドキーワードに関するウェブリソースの横断的分析 Reviewed

    吉田 光男, 荒瀬 由紀

    情報処理学会論文誌:データベース   9 ( 1 )   20 - 30   2016.4

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  • CEFR準拠教科書における語彙・構文の特徴分析とレベル自動分類

    水嶋海都, 荒瀬由紀, 内田諭

    2016.3

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  • Text Simplificationのための文難易度の2値分類手法の検討

    高田祥平, 水嶋海都, 荒瀬由紀

    2016.3

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  • Dummy-based User Location Anonymization under Real-World Constraints Reviewed

    Takahiro Hara, Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Xing Xie

    IEEE Access   4   673 - 687   2016.2

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    DOI: 10.1109/ACCESS.2016.2526060

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  • Wikipedia page view reflects web search trend Reviewed

    Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto

    Proceedings of the 2015 ACM Web Science Conference   abs/1509.02218   2015.6

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    DOI: 10.1145/2786451.2786495

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  • 検索頻度推定のためのWikipediaページビューデータの分析

    吉田光男, 荒瀬由紀, 角田孝昭, 山本幹雄

    第29回人工知能学会全国大会   2015.5

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  • Boosting the Efficiency of First-order Abductive Reasoning Using Pre-estimated Relatedness between Predicates Reviewed

    Kazeto Yamamoto, Naoya Inoue, Kentaro Inui, Yuki Arase, Jun'ichi Tsujii

    International Journal of Machine Learning and Computing   5 ( 2 )   114 - 120   2015.4

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  • 高度な英文訂正への統計的機械翻訳技術の適用 Reviewed

    水嶋海都, 荒瀬由紀

    2015.3

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  • Trend query classification using label propagation Reviewed

    Mitsuo Yoshida, Yuki Arase

    Transactions of the Japanese Society for Artificial Intelligence   30 ( 1 )   161 - 171   2015.1

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    DOI: 10.1527/tjsai.30.161

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  • 語義グラフを用いた整数線形計画法による語義曖昧性解消手法の提案 Reviewed

    欅 惇志, 荒瀬 由紀, 山本 風人, 辻井 潤一

    2014.11

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  • ユーザの訪問場所の傾向を考慮したダミーによるユーザ位置曖昧化手法 Reviewed

    加藤 諒, 松野 有弥, 原 隆浩, 荒瀬 由紀, Xing Xie, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2014)シンポジウム論文集   2014.7

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  • Efficient Estimation of Plausible Abductive Hypotheses Using A* Search Reviewed

    Kazeto Yamamoto, Naoya Inoue, Kentaro Inui, Yuki Arase, Junichi Tsujii

    IPSJ SIG Notes   2014 ( 10 )   1 - 9   2014.6

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    Abduction is inference to the best explanation. While abduction has long been considered as a promising framework for natural language processing (NLP), its computational complexity hinders applying abduction to practical NLP problems. In this paper, we adapt an A* search-based technique for abduction in order to prune its search space efficiently. More specifically, we present an algorithm to effectively eliminate literals which do not introduce any unification from the search space. Our experiment reveals that our search-based technique considerably reduces the size of the search space and improves the efficiency of the state-of-the-art inference algorithm for abduction on first-order logic.

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  • Dependency Tree Abstraction for Long-Distance Reordering in Statistical Machine Translation Reviewed

    Chenchen Ding, Yuki Arase

    Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics   2014.4

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    DOI: 10.3115/v1/e14-1045

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  • 停止するユーザの移動経路に基づいた位置プライバシ保護のためのダミー生成手法 Reviewed

    加藤 諒, 岩田 麻佑, 原 隆浩, 鈴木 晃祥, 荒瀬 由紀, Xing Xie, 西尾 章治郎

    情報処理学会論文誌   2014.1

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  • Location anonymization using real car trace data for location based services Reviewed

    Takahiro Hara, Ayana Yamamoto, Mayu Iwata, Yuki Arase, Xing Xie, Shojiro Nishio

    Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014   2014

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    DOI: 10.1145/2557977.2558044

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  • Machine Translation Detection from Monolingual Web-text Reviewed

    Y. Arase, M. Zhou

    2013.8

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  • Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners. Reviewed

    Keisuke Sakaguchi, Yuki Arase, Mamoru Komachi

    Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics   238 - 242   2013.8

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  • ダミーの広範囲な分散を考慮したユーザ位置曖昧化手法 Reviewed

    加藤 諒, 岩田 麻佑, 原 隆浩, 荒瀬 由紀, Xing Xie, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2013)シンポジウム論文集   2013.7

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  • User location anonymization method for wide distribution of dummies Reviewed

    Ryo Kato, Mayu Iwata, Takahiro Hara, Yuki Arase, Xing Xie, Shojiro Nishio

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   8056 ( 2 )   259 - 273   2013

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    DOI: 10.1007/978-3-642-40173-2_22

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  • 停止を伴うユーザの移動経路を考慮したダミーによる位置曖昧化手法 Reviewed

    加藤 諒, 岩田 麻佑, 原 隆浩, 鈴木 晃祥, 荒瀬 由紀, Xing Xie, 西尾 章治郎

    情報処理学会マルチメディア通信と分散処理ワークショップ(DPSWS 2012)論文集   2012.10

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  • Exploiting twitter for spiking query classification Reviewed

    Mitsuo Yoshida, Yuki Arase

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   7675   138 - 149   2012

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    DOI: 10.1007/978-3-642-35341-3_12

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  • A dummy-based anonymization method based on user trajectory with pauses Reviewed

    Ryo Kato, Mayu Iwata, Takahiro Hara, Akiyoshi Suzuki, Xing Xie, Yuki Arase, Shojiro Nishio

    GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems   249 - 258   2012

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    DOI: 10.1145/2424321.2424354

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  • ダミーを用いた位置曖昧化手法の評価 Reviewed

    鈴木 晃祥, 岩田 麻佑, 荒瀬 由紀, 原 隆浩, Xing Xie, 西尾 章治郎

    情報処理学会マルチメディア通信と分散処理ワークショップ(DPSWS 2011)論文集   2011.10

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  • Content comparison functions for mobile co-located collaborative web search Reviewed

    Daijiro Komaki, Azusa Oku, Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Gen Hattori, Shojiro Nishio

    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING   2 ( 3 )   239 - 248   2011.9

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    DOI: 10.1007/s12652-011-0060-4

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  • Bayesian Nonparametric Modeling of User Activities Reviewed

    Y. Zhu, Y. Arase, X. Xie, Q. Yang

    2011.9

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  • Mobile Search Assistance from HCI Aspect Reviewed

    Y. Arase, T. Hara, D. Komaki, S. Nishio

    International Journal of Space-based and Situated Computing (IJSSC)   2011.4

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  • 子供によるWeb検索のための検索結果リランク手法 Reviewed

    岩田 麻佑, 荒瀬 由紀, 原 隆浩, 西尾 章治郎

    情報処理学会論文誌   52 ( 3 )   1055 - 1068   2011.3

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  • Pics 'n' Trails : an Open Multimedia Dataset for Lifelog Research Reviewed

    DE SILVA Chaminda, AIZAWA Kiyoharu, ARASE Yuki, XIE Xing

    IEICE technical report   110 ( 374 )   1 - 5   2011.1

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    We present a large collection of location based life-log data that is publicly available for research. The Pics 'n' Trails dataset contains location data and digital photos captured by a single person over a period of more than a year. The location data were captured by continuously carrying a GPS receiver and recording the location coordinates at all times when they can be estimated. The photos, 4179 in total, were taken during sightseeing and other events. This paper describes the data collection, and our experiences in archiving and preparing the data set. It also summarizes two applications that have been built over this data set.

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  • Interactive social, spatial and temporal querying for multimedia retrieval Reviewed

    Gamhewage C. De Silva, Kiyoharu Aizawa, Yuki Arase, Xing Xie

    Proceedings - International Workshop on Content-Based Multimedia Indexing   7 - 12   2011

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    DOI: 10.1109/CBMI.2011.5972512

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  • A Contents Comparison Interface for Collaborative Web Search Using Multiple Mobile Devices Reviewed

    D. Komaki, A. Oku, Y. Arase, T. Hara, T. Uemukai, G. Hattori, S. Nishio

    2010.11

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  • Annotation and auto-scrolling for web page overview in mobile web browsing Reviewed

    ARASE Y.

    Int. J. Handheld Computing Research (IJHCR)   2010.10

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  • User Activity Understanding from Mobile Phone Sensors Reviewed

    Y. Arase, F. Ren, X. Xie

    2010.9

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  • Webページの構成と文章に着目したWeb検索結果の子供向けリランク手法 Reviewed

    岩田 麻佑, 荒瀬 由紀, 原 隆浩, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2010)シンポジウム論文集   2010.7

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  • 位置情報サービスにおける実環境を考慮したユーザ位置曖昧化 Reviewed

    鈴木 晃祥, 荒瀬 由紀, 原 隆浩, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2010)シンポジウム論文集   2010.7

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  • タッチパネル搭載型携帯端末のためのWeb検索クエリ入力支援インタフェース

    小牧 大治郎, 荒瀬 由紀, 原 隆浩, 服部 元, 滝嶋 康弘, 西尾 章治郎

    データ工学と情報マネジメントに関するフォーラム (DEIMフォーラム2010) 論文集   2010.3

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  • 携帯端末を用いた協調Web検索におけるコンテンツ比較支援インタフェース

    奥 梓, 小牧 大治郎, 荒瀬 由紀, 原 隆浩, 上向 俊晃, 服部 元, 西尾 章治郎

    データ工学と情報マネジメントに関するフォーラム (DEIMフォーラム2010) 論文集   2010.3

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  • Mining people's trips from large scale geo-tagged photos Reviewed

    Yuki Arase, Xing Xie, Takahiro Hara, Shojiro Nishio

    MM'10 - Proceedings of the ACM Multimedia 2010 International Conference   133 - 142   2010

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    DOI: 10.1145/1873951.1873971

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  • Web browser for children using bubble metaphor Reviewed

    Mayu Iwata, Yuki Arase, Takahiro Hara, Shojiro Nishio

    International Journal of Web Information Systems   6 ( 1 )   55 - 73   2010

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    DOI: 10.1108/17440081011034484

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  • A user location anonymization method for location based services in a real environment Reviewed

    Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Takahiro Hara, Xing Xie, Shojiro Nishio

    GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems   398 - 401   2010

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    DOI: 10.1145/1869790.1869846

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  • A children-oriented re-ranking method for web search engines Reviewed

    Mayu Iwata, Yuki Arase, Takahiro Hara, Shojiro Nishio

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6488   225 - 239   2010

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    DOI: 10.1007/978-3-642-17616-6_21

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  • Web page adaptation and presentation for mobile phones Reviewed

    Yuki Arase, Takahiro Hara, Shojiro Nishio

    Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies   240 - 262   2010

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    DOI: 10.4018/978-1-61520-761-9.ch012

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  • 携帯電話を用いたWeb検索支援ためのクリック型検索インタフェースの評価 Reviewed

    小牧 大治郎, 大西 健史, 荒瀬 由紀, 原 隆浩, 服部 元, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2009)シンポジウム論文集   2009.7

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  • 泡メタファを用いた子供向けWebブラウザの評価 Reviewed

    岩田 麻佑, 小牧 大治郎, 荒瀬 由紀, 原 隆浩, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2009)シンポジウム論文集   2009.7

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  • Preview Functions for Web Browsing Using Cellular Phones Reviewed

    Kenji Ohnishi, Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2   1070 - +   2009.3

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    DOI: 10.1109/CISIS.2009.57

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  • Design and implementation of a Click-Search interface for web browsing using cellular phones Reviewed

    Daijiro Komaki, Kenji Ohnishi, Yuki Arase, Takahiro Hara, Gen Hattori, Shojiro Nishio

    INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES   5 ( 1 )   66 - 84   2009.3

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  • MotoBrowser: Enjoyable browsing using cellular phones by "motoring" web pages Reviewed

    Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    Proceedings - IEEE International Conference on Mobile Data Management   373 - 374   2009

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    DOI: 10.1109/MDM.2009.58

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  • A game based approach to assign geographical relevance to web images Reviewed

    Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, Shojiro Nishio

    WWW'09 - Proceedings of the 18th International World Wide Web Conference   811 - 820   2009

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    DOI: 10.1145/1526709.1526818

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  • User profiling for web search based on biological fluctuation Reviewed

    Yuki Arase, Takahiro Hara, Shojiro Nishio

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   5612 ( 3 )   239 - 247   2009

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    DOI: 10.1007/978-3-642-02580-8_26

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  • Investigation of children's characteristics for Web browsing Reviewed

    Mayu Iwata, Yuki Arase, Takahiro Hara, Shojiro Nishio

    International Conference on Information and Knowledge Management, Proceedings   91 - 94   2009

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    DOI: 10.1145/1651587.1651608

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  • A content clipping system for web browsing using cellular phones Reviewed

    Kenji Ohnishi, Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    Proceedings - International Conference on Advanced Information Networking and Applications, AINA   978 - 983   2009

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    DOI: 10.1109/WAINA.2009.184

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  • 携帯電話を用いたWeb閲覧のためのクリック検索インタフェース Reviewed

    小牧 大治郎, 大西 健史, 荒瀬 由紀, 原 隆浩, 服部 元, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2008)シンポジウム論文集   2008.7

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  • 泡メタファーを用いた子供向けWeb提示手法について Reviewed

    岩田 麻佑, 荒瀬 由紀, 原 隆浩, 西尾 章治郎

    情報処理学会マルチメディア, 分散, 協調とモバイル(DICOMO 2008)シンポジウム論文集   2008.7

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  • 携帯電話上でのドライブメタファーを用いたWebページ提示 Reviewed

    荒瀬 由紀, 原 隆浩, 上向 俊晃, 西尾 章治郎

    日本データベース学会論文誌   2008.6

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  • 携帯電話を用いたWeb閲覧におけるドライブメタファーによる閲覧補助

    荒瀬由紀, 原隆浩, 上向俊晃, 西尾章治郎

    電子情報通信学会データ工学ワークショップ論文集   2008.3

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  • A click-search interface for web browsing using cellular phones.

    Daijiro Komaki, Kenji Ohnishi, Yuki Arase, Takahiro Hara, Gen Hattori, Shojiro Nishio

    Proceedings of the 4th Annual International Conference on Wireless Internet(WICON)   45 - 45   2008

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    Publishing type:Research paper (international conference proceedings)   Publisher:ICST  

    DOI: 10.4108/ICST.WICON2008.4857

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    Other Link: https://dblp.uni-trier.de/rec/conf/wicon/2008

  • A web browsing system for cellular-phone users based on adaptive presentation Reviewed

    Yuki Arase, Takuya Maekawa, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    Universal Access in the Information Society   6 ( 3 )   259 - 271   2007.11

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    DOI: 10.1007/s10209-007-0088-6

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  • OPA Browser: A Web Browser for Cellular Phone Users Reviewed

    Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    UIST 2007: PROCEEDINGS OF THE 20TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY   71 - 80   2007.10

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    DOI: 10.1145/1294211.1294225

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  • 携帯電話ユーザのための加速度センサを用いたWeb閲覧システム Reviewed

    大西 健史, 荒瀬 由紀, 原 隆浩, 上向 俊晃, 西尾 章治郎

    電子情報通信学会データ工学ワークショップ(DEWS 2007)論文集   2007.3

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  • Nine button browsing system: a web browsing system for cellular phone users Reviewed

    DBSJ letters   5 ( 4 )   9 - 12   2007.3

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  • 携帯電話を用いたWeb閲覧のためのコンテンツ適応的提示システム Reviewed

    荒瀬 由紀, 前川 卓也, 原 隆浩, 上向 俊晃, 西尾 章治郎

    情報処理学会論文誌   2006.12

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  • 携帯電話を用いたWeb閲覧のための9ボタンブラウジングシステム Reviewed

    荒瀬 由紀, 原 隆浩, 上向 俊晃, 西尾 章治郎

    情報処理学会データベースとWeb情報システムに関するシンポジウム(DBWeb 2006)論文集   2006.11

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  • Nine-button web bromising system for cellular phone users Reviewed

    Yuki Arase, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    2006 INNOVATIONS IN INFORMATION TECHNOLOGY   320 - +   2006.11

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    DOI: 10.1109/INNOVATIONS.2006.301938

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  • 携帯電話によるWeb閲覧のためのコンテンツ適応的提示

    荒瀬由紀, 前川卓也, 原 隆浩, 上向俊晃, 西尾 章治郎

    2006.3

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  • A web browsing system based on adaptive presentation of web contents for cellular phones Reviewed

    Yuki Arase, Takuya Maekawa, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio

    in Proc. of the international cross-disciplinary workshop on Web accessibility (W4A)   134   86 - 89   2006

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    DOI: 10.1145/1133219.1133234

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▼display all

Books

  • IT Text 自然言語処理の基礎

    岡﨑 直観, 荒瀬 由紀, 鈴木 潤, 鶴岡 慶雅, 宮尾 祐介( Role: Joint author3章,7章)

    オーム社  2022.8  ( ISBN:4274229009

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    Total pages:320   Language:Japanese   Book type:Textbook, survey, introduction

    ASIN

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  • Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies

    Y. Arase, T. Hara, S. Nishio

    IGI Global  2010.4  ( ISBN:9781615207619

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    Responsible for pages:Web Page Adaptation and Presentation for Mobile Phones, Book Chapter (Chapter 12, pp. 240-262)   Book type:Scholarly book

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MISC

  • 多言語文符号化器の言語表現と意味表現の分離に基づく機械翻訳の品質推定

    黒田勇斗, 梶原智之, 荒瀬由紀, 二宮崇

    言語処理学会年次大会発表論文集(Web)   28th   2022

  • 理想のフレーズアラインメント手法を求めて Invited

    荒瀬由紀

    自然言語処理   28 ( 1 )   270 - 275   2021.3

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

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  • Edit Distance Based Curriculum Learning for Style Transfer

    門谷宙, 梶原智之, 荒瀬由紀, 鬼塚真

    人工知能学会全国大会(Web)   35th   2021

  • ラベル間の意味の違いを考慮したFew-shotテキスト分類

    大橋空, 高山隼矢, 梶原智之, 荒瀬由紀

    言語処理学会年次大会発表論文集(Web)   27th   2021

  • Non-Autoregressive Translationモデルにおける事前並び替え適用手法の検討

    瓦祐希, CHU Chenhui, 荒瀬由紀

    言語処理学会年次大会発表論文集(Web)   27th   2021

  • 言い換えラティスを用いたテキスト生成の性能改善

    西原大貴, 梶原智之, 荒瀬由紀, 藤田篤

    言語処理学会年次大会発表論文集(Web)   27th   2021

  • Towards Control of Neural Language Generation Invited

    荒瀬由紀

    生産と技術   72 ( 3 )   57 - 60   2020.7

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    Authorship:Lead author, Last author, Corresponding author  

    J-GLOBAL

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  • Cross-lingual Semantic Textual Similarity Measures based on Universal Dependencies

    田中貴秋, 荒瀬由紀, 永田昌明, 鬼塚真

    人工知能学会全国大会(Web)   34th   2020

  • 人工知能における「対話」と「共感」

    荒瀬由紀

    日本心身医学会総会ならびに学術講演会抄録集   60th   2019

  • Enjoy Research in Your Best Environment(<Special Issue>AI in the World, AI in Japan (25))

    Yuki Arase, Microsoft Research Asia

    29 ( 3 )   298 - 299   2014.5

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    CiNii Books

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  • 車両トレースデータを用いたダミー生成による位置プライバシ保護手法

    山本彩奈, 岩田麻佑, 原隆浩, 荒瀬由紀, XingXie, 西尾章治郎

    研究報告 マルチメディア通信と分散処理(DPS)   2012 ( 12 )   1 - 6   2012.11

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    Language:Japanese  

    GPS 技術の発展に伴いユーザの位置情報を利用した位置情報サービスが数多く提供されている.しかし,位置情報サービスは,サービス利用時にユーザの位置情報を送信する必要があり,この情報をもとに住所などの個人情報が露見してしまう可能性がある.このようなプライバシを保護するために,筆者らの研究チームでは先行研究において,移動手段を徒歩と想定し,実環境を考慮したダミーを用いたユーザ位置曖昧化手法を提案した.本稿では,徒歩とは移動特性が異なる車で移動するユーザを想定した,ダミー生成による位置プライバシ保護手法を提案する.この手法では,車で移動するダミーを実環境に適した形で生成するために,車両トレースデータを使用する.

    CiNii Books

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  • Toward Comfortable Web Page Presentation for Mobile Phones(<Special Issue>Mobile Web) Invited

    ARASE Yuki, HARA Takahiro, NISHIO Shojiro, Yuki Arase, Takahiro Hara, Shojiro Nishio, Dept. of Multimedia Eng. Grad. Sch. of Information Science and Tech. Osaka University, Dept. of Multimedia Eng. Grad. Sch. of Information Science and Tech. Osaka University

    Journal of Japanese Society for Artificial Intelligence   25 ( 5 )   678 - 685   2010.9

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    CiNii Books

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    Other Link: http://id.nii.ac.jp/1004/00007590/

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Presentations

  • Woman in IR (panelist) Invited

    Yuki Arase

    International ACM SIGIR Conference on Research Development in Information Retrieval (SIGIR 2020)  2020.7 

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    Event date: 2020.7

    Presentation type:Symposium, workshop panel (nominated)  

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  • 人とAIを言葉でつなぐ~自然言語処理による言語理解~ Invited

    荒瀬 由紀

    「AIと人がつくる未来社会」シンポジウム (日本学術会議第三部, 近畿地区会議, 国立大学法人大阪大学)  2019.8 

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  • 人工知能における「対話」と「共感」 Invited

    荒瀬 由紀

    第2回日本心身医学関連学会合同集会  2019.11 

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  • 自然言語処理における深層学習モデルの現状 Invited

    荒瀬由紀

    日本心理学会 2023 大会 公募シンポジウム: 深層学習と心理学 -その可能性を探る-  2023.9 

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    Presentation type:Symposium, workshop panel (nominated)  

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  • 単語アラインメントの最前線 Invited

    荒瀬由紀

    NLPコロキウム  2023.9 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Large Language Models on the Web: Anticipating the challenge (panelist) Invited

    Yuki Arase

    The 18th annual meeting of the Internet Governance Forum (IGF 2023) Workshop  2023.10 

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    Presentation type:Symposium, workshop panel (public)  

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  • トレンドと検索頻度とWikipediaページビューの三角関係 Invited

    吉田 光男, 角田 孝昭, 山本 幹雄, 荒瀬 由紀, 津川 翔

    インタラクティブ情報アクセスと可視化マイニング 第10回研究会  2015.7 

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  • Paraphrase and Phrase Alignment Invited

    荒瀬 由紀

    東京大学 融合情報学特別講義Ⅰ 

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  • Paraphrase, Phrase Alignment, and Applications Invited

    東京大学コンピュータ科学専攻講演会  2016.12 

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  • ゼロから始める自然言語処理:「ここから始める情報処理 ~画像、音声、テキスト、検索、学習、一気にまとめてチュートリアル~」

    荒瀬 由紀

    第15回情報科学技術フォーラム(FIT2016)  2016.9 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • 言葉を「計算」できる世界へ

    IPSJ-ONE 2017  2017.3 

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    Presentation type:Oral presentation (general)  

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  • 英語教育支援のためのLexical Simplification Invited

    荒瀬 由紀

    第45回関西合同音声ゼミ 招待講演  2017.7 

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  • コンピュータによる言語能力拡張 Invited

    荒瀬 由紀

    京都大学工学部 情報社会と職業  2017.6 

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  • "深層学習時代の" ゼロから始める自然言語処理 Invited

    荒瀬 由紀

    第32回人工知能学会全国大会 (JSAI2018) チュートリアル  2018.6 

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    Presentation type:Oral presentation (general)  

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  • コンピュータが人間の言葉を扱うために~自然言語処理技術の紹介~ Invited

    荒瀬 由紀

    高大連携・地元高校育成補助事業(徳島県立海部高校)  2017.11 

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  • 人工知能と対話システム~コンピュータと言葉の理解~ Invited

    荒瀬 由紀

    ふるさと創生拠点ハイスクール推進事業 海部学(徳島県立海部高校)  2018.12 

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  • On the Importance of Word Rewarding for Adequate NMT

    Yuki Arase

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI)  2018.10 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • 語彙言い換え技術 Invited

    荒瀬 由紀

    東北大学 MiCS: みちのく情報伝達学セミナー  2019.4 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Towards Fluent and Adequate English-Japanese MT

    Yuki Arase

    Macquarie University  2019.1 

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    Presentation type:Public lecture, seminar, tutorial, course, or other speech  

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  • Responsive and Self-Expressive Dialogue Generation

    Yuki Arase

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI)  2019.7 

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  • 自然言語処理によるテキストデータ処理

    荒瀬由紀

    「AI自然言語処理の基礎と活用について」セミナー  2020.11 

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  • ACL Efficient NLP ワーキンググループの取り組み:必要十分な実験を Invited

    荒瀬由紀

    NLPにおける再現性ワークショップ  2022.3 

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    Presentation type:Oral presentation (invited, special)  

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  • Phrase alignment and representation Invited

    Y. Arase

    NAIST Data Science Center Seminar  2021.2 

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    Language:English   Presentation type:Oral presentation (invited, special)  

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Industrial property rights

  • 文比較装置、方法、及びプログラム

    田中 貴秋, 永田 昌明, 松下(荒瀬)由紀, 鬼塚真

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    Application no:特願2018-96983 (P2018-96983)  Date applied:2018.5

    Announcement no:特開特開2019-204153 (P2019-204153A)  Date announced:2019.11

    Patent/Registration no:特許第7088490号 (P7088490)  Date registered:2022.6  Date issued:2022.6

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  • 言語解析装置、方法、及びプログラム

    田中貴秋, 永田昌明, 松下(荒瀬)由紀

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    Application no:特願2017-139783  Date applied:2017.7

    Patent/Registration no:特許6782929  Date registered:2020.10 

    Country of applicant:Domestic  

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  • Identifying Status based on Heterogeneous Sensors

    Y. Arase, Y. Zhu, X. Xie

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    Application no:13/088,755  Date applied:2011.4

    Patent/Registration no:8718672  Date registered:2012.10 

    Country of applicant:Foreign country  

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  • Construction of Photo Trip Patterns based on Geographical Information

    Y. Arase, X. Xie

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    Application no:12/560,872  Date applied:2009.9

    Patent/Registration no:8626699  Date registered:2011.3 

    Country of applicant:Foreign country  

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Works

  • OTAlign: Optimal Transport based Monolingual Word Alignment

    uki Arase, Han Bao, Sho Yokoi

    2023.7

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  • CEFR-SP: CEFR-Based Sentence Difficulty Annotation and Assessment

    Yuki Arase, Satoru Uchida, Tomoyuki Kajiwara

    2022.12

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  • Patient Reported Outcomes annotations on Weblogs

    荒瀬由紀

    2022.3

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    Work type:Database science  

    医薬品の開発において,患者報告アウトカム(Patient Reported Outcomes; PRO)と呼ばれる,患者自身による主観的な評価が活用されています. PRO の有力な情報源として,闘病ブログ等,患者自身が作成した Web コンテンツの活用が期待されています.

    本データセットは,医薬品の奏功情報を文脈付きでアノテーションした初めてのデータセットです. 患者が作成したブログ記事をクロールし,そこで報告されている医薬品の奏功情報についてアノテーションしました. 具体的には,奏功情報を記述するスパンを特定し,関連する薬剤名,症状を表す標準コード(ICD-10, MedDRA),効果の種類を示すラベルをアノテーションしています.

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  • Distilling Word Meaning in Context from Pre-trained Language Models

    2021.8

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  • DIRECT: Direct and Indirect REsponses in Conversational Text Corpus

    2021.7

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    Work type:Database science  

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  • Compositional Phrase Alignment and Beyond

    2021.4

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    Work type:Software  

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  • ADR annotation on Weblogs

    Yuki Arase, Tomoyuki Kajiwara, Chenhui Chu

    2020.5

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    Work type:Database science  

    Adverse drug reactions are a severe problem that significantly degrade quality of life, or even threaten the life of patients. Patient-generated texts available on the web have been gaining attention as a promising source of information in this regard.

    To date, this is the first dataset that annotated drug reactions with full context. We crawled patient's weblog articles shared on an online patient-networking platform and annotated the effects of drugs therein reported. We identified spans describing drug reactions and assigned labels for related drug names, standard codes for the symptoms of the reactions, and types of effects.

    For more details, please refer to our paper:
    Yuki Arase, Tomoyuki Kajiwara, Chenhui Chu. 2020. Annotation of Adverse Drug Reactions in Patients' Weblogs. in Proceedings of the 12th Edition of its Language Resources and Evaluation Conference (LREC 2020). (May 2020, to appear).

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    Other Link: https://www.aclweb.org/anthology/2020.lrec-1.836/

  • Transfer fine-tuned BERT models by paraphrases

    2019.11

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  • SPADE

    Yuki Arase, Junichi Tsujii

    2018.3

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    Work type:Database science  

    SPADE (Syntactic Phrase Alignment Dataset for Evaluation) consists of annotated parse trees and alignment on English sentential paraphrases extracted from machine translation evaluation corpora and separated into development and test sets.

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    Other Link: https://www.aclweb.org/anthology/L18-1220/

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Awards

  • フェロー

    2025.6   情報処理学会   言語の意味理解と生成技術、それらの言語教育応用に対する貢献

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    Award type:Award from Japanese society, conference, symposium, etc. 

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  • キャタピラーSTEM賞 (特別賞)

    2024.5   キャタピラージャパン合同会社   高度な言語能力を備えたAIによる言語教育・産業支援

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    Award type:Award from publisher, newspaper, foundation, etc. 

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  • 言語処理学会論文賞

    2023.3   言語処理学会   対話における間接的応答と直接的応答からなる言い換えコーパスの構築と分析

    高山隼矢, 梶原智之, 荒瀬由紀

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  • 船井学術賞(船井哲良特別賞)

    2023.2   公益財団法人船井情報科学振興財団   言い換え表現に基づく言語の意味理解推進と言語教育応用に関する研究

    荒瀬由紀

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  • 上林奨励賞

    2018.3   日本データベース学会  

    荒瀬 由紀

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    Country:Japan

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  • 優秀研究賞

    2025.3   情報処理学会自然言語処理研究会   目標文難易度を連続的に制御可能なテキスト平易化

    柳本大輝, 梶原智之, 荒瀬由紀, 二宮崇

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    Award type:Award from Japanese society, conference, symposium, etc. 

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  • PKSHA Technology賞

    2025.3   言語処理学会第31回年次大会, 株式会社 PKSHA Technology   対照学習を用いたhallucination検出手法

    山田 美優, 荒瀬 由紀

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    Award type:Award from Japanese society, conference, symposium, etc. 

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  • 株式会社ELYZA賞

    2024.9   株式会社ELYZA,第19回言語処理若手シンポジウム(YANS)   Attentionに基づく大規模言語モデルのHallucination検出手法の検討

    小笠 雄也, 梶原 智之, 荒瀬 由紀

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    Award type:Award from Japanese society, conference, symposium, etc. 

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  • 優秀研究賞

    2023.5   情報処理学会自然言語処理研究会   系列変換モデルにおける語彙制約を用いた複数出力候補の統合

    宮野 稜大,梶原 智之,荒瀬 由紀

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  • 富士通賞

    2021.3   富士通株式会社・言語処理学会第27回年次大会   言い換えラティスを用いたテキスト生成の性能改善

    西原大貴, 梶原智之, 荒瀬由紀, 藤田篤

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  • サイバー賞

    2019.8   株式会社サイバーエージェント, NLP若手の会シンポジウム (YANS2019)  

    芦原和樹, 梶原智之, 荒瀬由紀, 内田諭

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    Country:Japan

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  • リクルートテクノロジーズ賞

    2019.8   株式会社リクルートテクノロジーズ, NLP若手の会シンポジウム (YANS2019)  

    山内崇史, 梶原智之, 荒瀬由紀

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    Country:Japan

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  • NLP若手の会 (YANS) 第13回シンポジウム 奨励賞

    2018.8   NLP若手の会 (YANS)  

    三浦びわ, 梶原智之, 荒瀬由紀

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    Country:Japan

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  • データ解析コンペティションDB部会 最優秀賞

    2015.2   ACM SIGMOD日本支部  

    水野 陽平, 岸田 吉弘, 荒瀬 由紀, 鬼塚 真

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  • 優秀論文賞

    2014.11   WebDB Forum/DBS研究会  

    欅 惇志, 荒瀬 由紀, 山本 風人, 辻井 潤一

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    Country:Japan

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  • 優秀論文賞

    2012.10   情報処理学会 マルチメディア通信と分散処理ワークショップ(DPSWS 2012)  

    加藤 諒, 岩田 麻佑, 原 隆浩, 鈴木 晃祥, 荒瀬 由紀, Xing Xie, 西尾 章治郎

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    Country:Japan

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  • 情報処理学会 マルチメディア通信と分散処理ワークショップ(DPSWS 2011)学生優秀論文賞

    2011.10   情報処理学会  

    鈴木 晃祥, 岩田 麻佑, 荒瀬 由紀, 原 隆浩, Xing Xie, 西尾 章治郎

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    Country:Japan

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  • International Conference on Ambient Systems, Networks and Technologies (ANT 2010), Best Paper Award

    2010.11   International Conference on Ambient Systems, Networks and Technologies (ANT 2010)  

    D. Komaki, A. Oku, Y. Arase, T. Hara, T. Uemukai, G. Hattori, S. Nishio

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  • 嵩賞

    2010.11   大阪大学大学院情報科学研究科  

    荒瀬 由紀

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    Country:Japan

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  • 最優秀論文賞

    2009.7   情報処理学会 マルチメディア, 分散, 協調とモバイルシンポジウム(DICOMO 2009)  

    岩田麻佑, 小牧大治郎, 荒瀬由紀, 原 隆浩, 西尾章治郎

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    Country:Japan

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  • 若手研究者賞

    2009.7   データベース,Web,情報マネジメントに関する若手研究者国際ワークショップ  

    荒瀬 由紀

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    Country:Japan

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  • 優秀論文賞

    2008.6   情報処理学会マルチメディア,分散,協調とモバイルシンポジウム(DICOMO 2008)  

    小牧大治郎, 大西健史, 荒瀬由紀, 原 隆浩, 服部 元, 西尾章治郎

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    Country:Japan

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  • 大阪大学情報科学研究科賞

    2007.3   大阪大学大学院情報科学研究科  

    荒瀬 由紀

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    Country:Japan

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Research Projects

  • 文脈における語義表現モデルの構築

    2021.8 - 2022.3

    公益財団法人 木下記念事業団  自然科学系基礎的分野の研究に対する助成事業 

    荒瀬由紀

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    Authorship:Principal investigator 

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  • 超大規模日本語言語モデルの構築、利用、評価に関する研究

    2021.5 - 2022.3

    LINE株式会社  共同研究 

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    Authorship:Principal investigator 

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  • 語彙学習のための大規模 Data-Driven Learning システム開発

    Grant number:21H03564  2021.4 - 2025.3

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    荒瀬 由紀, 内田 諭, 梶原 智之

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    Grant amount:\17030000 ( Direct Cost: \13100000 、 Indirect Cost:\3930000 )

    本研究では語彙学習に対する Data-Driven Learning (DDL) を実現し、英語教員や学生がWebブラウザから自由に利用できる学習プラットフォームを構築する。DDLを語彙学習に用いるには、学習項目を含む文を適切な難易度で多量に観察し、段階的に難易度の高い文を学習することが効果的である。しかしこの条件を満たす英文はWeb上にもごく僅かしか存在せず、また英文の難易度判定の指標も非自明である。そこで本研究では、Common European Framework of Reference for Languages(CEFR)に準拠した英文の難易度指標を策定し、難易度を調整する言い換えを自動的に行うことで、様々な難易度の用例を大規模に獲得する。研究目的を達成するため、(i) 英文難易度指標の策定とコーパス構築、(ii) 難易度調整言い換えモデルの開発、の二つの研究課題に取り組む。計画に基づき研究を実施し、2021年度は以下の成果を達成した。
    (i) 英文難易度指標の策定とコーパス構築
    時事性の高い英文コーパスからサンプルした文にCEFRレベルを付与することで、英文難易度コーパスを構築した。豊富な英語教育経験を持つアノテータにより、約2万文の英文について質の高いCEFRレベルアノテーションを完了した。
    (ii) 難易度調整言い換えモデルの開発
    難易度調整言い換えモデルの構築には難易度の異なるパラレル文からなるコーパスが必要となる。大規模なパラレルコーパス構築は人的・時間的コストが高く、困難である。そこで本研究では事前学習済み系列変換モデルを少量の良質なコーパスを用いて再訓練する転移学習を行う。2021年度は既存のテキスト平易化コーパスを用いて強化学習による英文難易度変換の有効性を確認した。また(i)で構築したコーパスを用いて強化学習で必要となる英文難易度推定モデルを構築した。

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  • パラフレーズ現象の解明のための言語資源構築とパラフレーズアラインメント技術の確立

    2018.4 - 2020.3

    国立研究開発法人 科学技術振興機構  戦略的創造研究推進事業 ACT-I 加速フェーズ 

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  • Creating an online accessible database of high-frequency phrases including collocations and chunks with their CEFR levels

    Grant number:23K21949  2022.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\16900000 ( Direct Cost: \13000000 、 Indirect Cost:\3900000 )

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  • Creating an online accessible database of high-frequency phrases including collocations and chunks with their CEFR levels

    Grant number:22H00677  2022.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\16900000 ( Direct Cost: \13000000 、 Indirect Cost:\3900000 )

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  • Exploring high-reliability and cost-effective methods for generating feedback comment generataton for writing learning

    Grant number:22K12326  2022.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Grant amount:\4030000 ( Direct Cost: \3100000 、 Indirect Cost:\930000 )

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  • 語彙学習のための大規模 Data-Driven Learning システム開発

    Grant number:23K21732  2021.4 - 2025.3

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    荒瀬 由紀, 内田 諭, 梶原 智之

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    Grant amount:\17030000 ( Direct Cost: \13100000 、 Indirect Cost:\3930000 )

    本研究では語彙学習に対する Data-Driven Learning (DDL) を実現し、英語教員や学生がWebブラウザから自由に利用できる学習プラットフォームを構築する。DDLを語彙学習に用いるには、学習項目を含む文を適切な難易度で多量に観察し、段階的に難易度の高い文を学習することが効果的である。しかしこの条件を満たす英文はWeb上にもごく僅かしか存在せず、また英文の難易度判定の指標も非自明である。そこで本研究では、Common European Framework of Reference for Languages(CEFR)に準拠した英文の難易度指標を策定し、難易度を調整する言い換えを自動的に行うことで、様々な難易度の用例を大規模に獲得する。
    2021年度に約2万文の英文に対しCEFRレベルを付与したコーパス(CEFR-SP)を構築したが、当該年度はその詳細な分析を実施し、各CEFRレベルの言語的特性を明らかにした。さらにCEFR-SPコーパスについて、異なる難易度の言い換え文を作文するクラウドソーシングを実施し、パラレルコーパスの作成に着手した。
    CEFR-SPコーパスを用いて高精度な英文難易度推定モデルを構築、評価実験を実施した成果を論文としてまとめた。当論文は自然言語処理における最重要国際会議の一つであるthe Conference on Empirical Methods in Natural Language Processing (EMNLP) に採択され、発表済みである。さらに、既存のテキスト平易化コーパスを用いて強化学習による英文難易度変換モデルを構築、評価実験を実施した成果を論文としてまとめ、国際会議である the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing(AACL-IJCNLP)にて発表した。

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  • 新薬創出を加速する症例データベースの構築・拡充/創薬ターゲット推定アルゴリズムの開発

    2021.4 - 2022.3

    厚生労働省  厚生労働研究費補助金 

    荒瀬由紀

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  • Universal Phrase Alignment

    2020.4 - 2021.3

    Microsoft Research Asia  CORE Project 

    Yuki Arase

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  • 発話・応答テキストの自動品質推定による大規模対話データ構築

    Grant number:18K11435  2018 - 2021.3

    日本学術振興会  科学研究費助成事業 基盤研究(C)  基盤研究(C)

    荒瀬 由紀

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    Grant type:Collaborative (industry/university)

    Grant amount:\4420000 ( Direct Cost: \3400000 、 Indirect Cost:\1020000 )

    発話・応答をテキストとして提供する対話データの不足が、雑談対話システムを研究開発する上で大きな障壁となっている。そこで本研究では大規模対話データ構築と、構築したデータを用いた雑談対話システムの構築に取り組む。
    本年は対話データの品質推定のため、対話を破綻させる要因となる応答の検出に取り組んだ。対話破綻検出チャレンジにて公開されているアノテーションデータを利用し、入力された発話・応答ペアが破綻しているかどうか分類する分類器を訓練する。
    発話・応答ペアの観察により、対話を破綻させる応答の特徴として、応答文内において不自然な単語の組み合わせが用いられるなど局所的な問題があること、発話の文脈に対する一貫性・整合性が欠如していることが明らかとなった。そこで、局所的な特徴の検出に強い Convolutional neural network (CNN)、系列を考慮することで文脈を考慮した文のベクトル化に効果的な Long short-term memoryを用いたRecurrent neural network (RNN) をそれぞれ訓練した。これらCNN・RNNモデルをアンサンブルすることで高精度な対話破綻検出を可能とした。本研究の成果は自然言語処理分野の主要国際論文誌であるComputer Speech & Languageにて発表している。
    さらに、発話と応答のスタイルの違いが破綻につながる場合もある。例えばTwitterのような口語が主流の対話では文法的な崩れは許容されるが、フォーマルな文体が好まれる対話では文法的な崩れは破綻の要因となる。そこでテキストのスタイルを自動的に変換するスタイル変換技術についても検討を行っている。基礎的なモデルは国内研究会において発表しており、奨励賞を受賞している。

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  • 医療テキスト構造化のための言語・知識処理基盤の構築

    2018 - 2021.3

    官民研究開発投資拡大プログラム(PRISM)  AIP加速PRISM 

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  • マルチモーダル情報融合を可能にする言語のベクトル化技術

    2018

    栢森情報科学振興財団 

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  • パラフレーズ現象の解明のための言語資源構築とパラフレーズアラインメント技術の確立

    2018

    JST ACT-I 加速フェーズ 

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    Grant type:Collaborative (industry/university)

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  • English speaking chatbot for English language learners

    2018

    Microsoft Japan 

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  • 文法機能ラベル付き構文解析に基づく機械翻訳,意味等価性評価手法の研究

    2018

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  • 言語教育支援のための文章難度自動調整機構

    2018

    KDDI財団 

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  • マルチモーダル情報融合を可能にする言語のベクトル化技術

    2017

    栢森情報科学振興財団 

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  • 文法機能ラベル付き構文解析に基づく機械翻訳の研究

    2017

    NTTコミュニケーション科学 基礎研究所 

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  • 言語教育支援のための文章難度自動調整機構

    2017

    KDDI財団 

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  • マルチモダリティを可能にするテキストのベクトル化技術の創出

    2017

    JST ACT-I 

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  • 対話コーパスの半自動生成に関する研究

    2017

    株式会社コトバデザイン 

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  • 意味的距離をとらえる言語のベクトル化

    2017

    国際科学技術財団 

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    Grant type:Collaborative (industry/university)

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  • マルチモダリティを可能にするテキストのベクトル化技術の創出

    2016.12 - 2018.3

    国立研究開発法人 科学技術振興機構  戦略的創造研究推進事業 ACT-I 

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  • 文法機能ラベル付き構文解析に基づく機械翻訳の研究

    2016

    NTTコミュニケーション科学 基礎研究所 

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  • パラフレーズ抽出のためのフレーズアライメント技術の開発

    2016

    ダイバーシティ研究環境実現イニシアティブ 

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  • 携帯電話を用いたWeb閲覧のためのコンテンツ提示

    Grant number:09J00066  2009 - 2010

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    荒瀬 由紀

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    Grant amount:\700000 ( Direct Cost: \700000 )

    携帯電話の普及に伴い,携帯電話を用いたWeb閲覧が日常的に行われている.また自分一人で行うWeb検索だけでなく,複数人で共通の目的のもと議論しながら,協調してWeb検索を行う協調Web検索も広く行われている[1].既存の協調Web検索ではデスクトップPCを用いることが前提とされていた.
    協調Web検索を携帯端末を用いて行うことで,ユーザは場所に縛られることなく目的の情報を検索できるものと考えられる.例えば,カフェで友人とWeb検索し,夏休みの旅行計画を立てたり,旅行先でご当地グルメで有名な飲食店を検索できる.このような携帯端末のみによる協調Web検索はこれまで研究されていなかった.
    携帯端末による協調Web検索の特性を調査するため実施した準備実験の結果,小さな画面と貧弱な入力インタフェースしか利用できないため,保存したWebコンテンツを他ユーザと比較検討する際,コンテンツを一覧表示できず,端末画面を見せ合う動作が煩雑であることが明らかとなった.
    そこで本研究では,携帯端末を用いた協調Web検索のためのコンテンツ比較を支援するインタフェースの設計と実装を行った.提案インタフェースでは,ユーザは閲覧したWebページから重要なコンテンツのみ切り出して保存できる.保存したコンテンツには保存時刻やURLなどの情報が付加されており,さらに他のユーザへのお勧め度を付加できる.協調Web検索を行うグループ内でこれらのコンテンツを共有できるようにすることで,ユーザは他のユーザが保存したコンテンツを容易に閲覧し,議論できる.さらに,付加したユーザのお勧め度や保存時刻,URLの条件でコンテンツを絞り込む機能も提供する.
    [1] Morris, M.R. : A Survey of Collaborative Web Search Practices, In Proc.CHI 2008, pp.1657-1660, 2008.

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    2020

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  • Exercise in Information and Communication Systems Engineering I

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    2015

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  • 人工知能と言語処理

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Media Coverage

  • 女子高生AI「りんな」、人工知能と人間の感情共感に関する研究に使われる

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  • 日本マイクロソフト、エム・データ、大阪大学の共同研究を12月21日から実施 AI「りんな」と一緒にテレビを見て感情を共有? MSが「芸能人聖地巡礼」機能を提供

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  • AI、人間と共感できる? マイクロソフトなど研究へ

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  • AI、人間と共感できる? 日本MS・阪大など共同研究

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  • 日本マイクロソフト、AIと人間の共感を研究

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  • 人工知能と人間は感情を共有できるか、「女子高生AIりんな」にTVの放送実績データを取り込み研究へ

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  • Wikipedia page views a potential key to open source web trends data

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  • Wikipedia page views show online search trends

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