Publications

法律相談テキストデータセットにおける判例エンティティリンキング

南 理久、土屋 雅稔

第21回言語処理若手シンポジウム(YANS2026), Sendai, Japan

典拠に基づいた事実性判定テストセットの構築

田口 凜采、土屋 雅稔

第21回言語処理若手シンポジウム(YANS2026), Sendai, Japan

大規模言語モデルによる固有表現理解の粒度に関する検討

前木場 舜、土屋 雅稔

Proceedings of the 32nd Annual Meeting of the Association for Natural Language Processing, pp. 1075–1079, Utsunomiya, Japan URL

有害判定モデルを用いて抽出したSNSにおける有害投稿の経年変化分析

太田 俊輔、土屋 雅稔、吉田 光男、廣中 詩織

The 5th annual meeting of the Society for Computational Social Science of Japan (CSSJ2026), Hamamatsu, Japan

災害時のSNSにおける地名略称・正式名称の頻度変化

六瀬 聡宏、富澤 光峰、土屋 雅稔、吉田 光男、内田 理

The 5th annual meeting of the Society for Computational Social Science of Japan (CSSJ2026), Hamamatsu, Japan

Defining and Detecting Incomplete Ingredient Descriptions in Cooking Recipes

Masatoshi Tsuchiya, Daigo Kohno

Proceedings of The 38th Pacific Asia Conference on Language, Information and Computation (PACLIC38), Tokyo, Japan

Between Information Diffusion Trends and Emotions for TV Anime Works on Twitter

Naoki Ishikura, Masatoshi Tsuchiya, Mitsuo Yoshida

Procedia Computer Science, Vol. 246, pp. 3908–3917, Sevilla, Spain DOI URL

Predicting Citation Counts with Machine Learning: A Citation Function Approach

Setio Basuki, Zamah Sari, Rizky Indrabayu, Reza Fauzan, Aulia Wardhana, Masatoshi Tsuchiya

Proceedings of The 2024 International Conference on Advanced Informatics: Concepts, Theory and Application, NUS, Singapore DOI

テレビアニメ作品に関するSNS上の情報拡散傾向と感情の関係

石倉直樹、土屋 雅稔、吉田 光男

Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 500–504, Kobe, Japan

Evaluating the Robustness of Question Answering Model against Context Variations

Takumi Matsuno, Masatoshi Tsuchiya

Proceedings of The 2023 International Conference on Advanced Informatics: Concepts, Theory and Application, Lombok, Indonesia

NICTmed at the NCTIR-16 Real-MedNLP Task

Masao Ideuchi, Masatoshi Tsuchiya, Yiran Wang, Masao Utiyama

Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR16), Tokyo, Japan

The Quality Assist: A Technology-Assisted Peer Review based on Citation Functions to Predict the Paper Quality

Setio Basuki, Masatoshi Tsuchiya

IEEE Access, Vol. 10, pp. 126815-126831 DOI

SDCF: semi-automatically structured dataset of citation functions

Setio Basuki, Masatoshi Tsuchiya

Scientometrics, Vol. 127, pp. 4569–4608, Berlin, Heidelberg DOI

日本語物語文を対象とする空所穴埋め問題データセット

土屋 雅稔、渡会 拓人

Journal of Japanese Society for Artificial Intelligence, Vol. 37, No. 4A, pp. 1–12 DOI

Automatic Approach for Building Dataset of Citation Functions for COVID-19 Academic Papers

Setio Basuki, Masatoshi Tsuchiya

Proceedings of The Sixteenth Linguistic Annotation Workshop (LAW-XVI), pp. 1–7, Marseille, France URL

Developing a Dataset of Overridden Information in Wikipedia

Masatoshi Tsuchiya, Yasutaka Yokoi

Proceedings of the 13th Language Resources and Evaluation Conference (LREC2022), pp. 5601–5608, Marseille, France URL

材料の記述が不完全な料理レシピの分析

河野 大悟、土屋 雅稔

Proceedings of the 28th Annual Meeting of the Association for Natural Language Processing, pp. 1825–1829, Hamamatsu, Japan

ソーシャルメディアにおけるCOVID-19に対する集団感情の経時的変化についての分析

Nguyen Cong Khon、土屋 雅稔、吉田 光男

The 1st annual meeting of the Society for Computational Social Science of Japan (CSSJ2022), Online

オンライン百科辞典を対象とする有効期限切れ情報データベースの作成

土屋 雅稔、横井 康孝

Proceedings of the 27th Annual Meeting of the Association for Natural Language Processing, pp. 386–390, Kitakyushu, Japan

Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension

Takuto Watarai, Masatoshi Tsuchiya

Proceedings of the 12th Language Resources and Evaluation Conference (LREC2020), pp. 6895–6901, Marseille, France URL

登場人物を考慮した日本語文章読解テストセットの作成

渡会 拓人、横井 康孝、土屋 雅稔

Proceedings of the 25th Annual Meeting of the Association for Natural Language Processing, pp. 1289-1292, Nagoya, Japan

Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment

Masatoshi Tsuchiya

Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC2018), pp. 1506–1511, Miyazaki, Japan URL

Performance Impact Caused by Hidden Bias of Natural Language Inference Corpus

含意関係認識コーパスの偏りによる性能評価への影響

Masatoshi Tsuchiya

IPSJ SIG Technical Report, Vol. 2017–NL–233, No. 5, Miyakojima, Japan URL

Automatic Alignment between Classroom Lecture Utterances and Slide Components

Masatoshi Tsuchiya, Ryo Minamiguchi

Proceedings of Interspeech2017, pp. 2904–2908, Stockholm, Sweden DOI URL

Developing Corpus of Lecture Utterances Aligned to Slide Components

Ryo Minamiguchi, Masatoshi Tsuchiya

Proceedings of The 12th Workshop on Asian Language Resources (COLING2016 Workshop), pp. 30–37, Osaka, Japan URL

Developing Corpus of Japanese-English Singular Sentence Textual Entailment

Daiki Hayakawa, Masatoshi Tsuchiya, Hitoshi Isahara

Proceedings of The 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, pp. 1–6, Penang, Malaysia DOI