Publications

Thesis

Hiroaki Yamada. 2021. Extracting argument structure from Japanese judgment documents for structure-based summarisation. Doctoral thesis.

Journals (refereed)

Yasuyo Sawaki, Yutaka Ishii, Hiroaki Yamada, Takenobu Tokunaga. Developing and validating an online module for formative assessment of summary writing with automated content feedback for EFL academic writing instruction, Language Testing in Asia 14, 50 (2024).
石渡 太智, 後藤 淳, 山田 寛章, 徳永 健伸. 近傍事例を用いた対話における感情認識, 自然言語処理, 2024, 31 巻, 2 号, p. 504-533, 2024/06/15, Online ISSN 2185-8314, Print ISSN 1340-7619.
Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Akira Tokutsu, Keisuke Takeshita, and Mihoko Sumida. 2024. Japanese tort-case dataset for rationale-supported legal judgment prediction. Artificial Intelligence and Law.
Fariz Ikhwantri, Jan Wira Gotama Putra, Hiroaki Yamada, Takenobu Tokunaga. 2023. Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour. Information Processing & Management. Elsevier Ltd, 60(2023) 103195.
Hiroaki Yamada, Simone Teufel and Takenobu Tokunaga. 2019. Building a Corpus of Legal Argumentation in Japanese Judgement Documents: Towards Structure-Based Summarisation. Artificial Intelligence and Law. Springer Netherlands, 27(2):141–170.

International Conferences and Workshops (refereed)

Fariz Ikhwantri, Hiroaki Yamada, and Takenobu Tokunaga. 2024. Analyzing Interpretability of Summarization Model with Eye-gaze Information. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 939–950, Torino, Italia. ELRA and ICCL.
Yusei Kido, Hiroaki Yamada, Takenobu Tokunaga, Rika Kimura, Yuriko Miura, Yumi Sakyo and Naoko Hayashi. 2024. Automatic Question Generation for the Japanese National Nursing Examination Using Large Language Models. In Proceedings of the 16th International Conference on Computer Supported Education (CSEDU 2024), pages 821-829.
Akito Shimbo, Yuta Sugawara, Hiroaki Yamada, Takenobu. 2023. Nearest Neighbor Search for Summarization of Japanese Judgment Documents. Legal Knowledge and Information Systems - JURIX 2023: The Thirty-sixth Annual Conference, pages 225–340, Maastricht, The Netherlands.
Keisuke Miyazaki, Hiroaki Yamada and Takenobu Tokunaga. 2022. Cross-domain Analysis on Japanese Legal Pretrained Language Models. In Findings of the The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, pages 274–281, Online.
Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga, Yasuyo Sawaki, and Mika Ishizuka. 2022. Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4663–4673, Marseille, France. European Language Resources Association.
Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Keisuke Takeshita, and Mihoko Sumida. 2022. Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 779–790, Marseille, France. European Language Resources Association.
Hiroaki Yamada, Simone Teufel and Takenobu Tokunaga. 2019. Neural network based Rhetorical status classification for Japanese judgement documents. In The proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019). pages 133–142.
Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga and Yasuyo Sawaki. 2019. Supporting content evaluation of student summaries by Idea Unit embedding. In Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA@ACL2019).
Hiroaki Yamada and Takenobu Tokunaga. 2019. A performance study on fine-tuned large language models in the Legal Case Entailment task. In Proceedings of the 6th Competition on Legal Information Extraction/Entailment (COLIEE-2019).
Sawaki, Y., Ishii, Y., & Yamada, H. (2019). Japanese university students' paraphrasing strategies in L2 summary writing. The 41st annual Language Testing Research Colloquium.
Hiroaki Yamada, Simone Teufel and Takenobu Tokunaga. 2017. Designing an annotation scheme for summarizing Japanese judgment documents. In Proceedings of the 9th International Conference on Knowledge and Systems Engineering (KSE 2017). pages 275-280.
Hiroaki Yamada, Simone Teufel and Takenobu Tokunaga. 2017. Annotation of argument structure in Japanese legal documents. In Proceedings of the 4th Workshop on Argument Mining (ArgMining2017). pages 22-31.

Non-refereed papers

山田寛章, 小原隆太郎, 角田美穂子, 不法行為判断予測データセット構築におけるELSI課題, 人工知能学会全国大会論文集, Volume JSAI2024, 第38回 (2024), Online ISSN 2758-7347 2024年5月.
山田寛章, 徳永健伸, 小原隆太郎, 得津晶, 竹下啓介, 角田美穂子. 日本語不法行為事件データセットの構築. 言語処理学会第30回年次大会発表論文集, pp. 1045-1050, 2024年3月.
新保彰人, 菅原祐太, 山田寛章, 徳永健伸. 大規模言語モデルを用いた日本語判決書の自動要約. 言語処理学会第30回年次大会発表論文集, pp. 1056-1061, 2024年3月.
Nguyen Ha Thanh, 山田寛章, 佐藤健. GPTs and Language Barrier: A Cross-Lingual Legal QA Examination. 言語処理学会第30回年次大会発表論文集, pp. 1062-1066, 2024年3月.
Cao Zhihan, 山田寛章, 徳永健伸. 対義関係バイアス: 事前訓練済み言語モデルと人間の意味関係間の弁別能力に関する分析. 言語処理学会第30回年次大会発表論文集, pp. 2194-2198, 2024年3月.
鈴木颯仁, 山田寛章, 徳永健伸. 事前学習済みモデルを用いた日本語直喩表現の解釈. 言語処理学会第30回年次大会発表論文集, pp. 3137-3142, 2024年3月.
伊藤悠馬, 山田寛章, 徳永健伸. 複数文書要約を用いた事実性の検証. 研究報告自然言語処理（NL）, Volume 2024-NL-259, Issue 17, pp. 1-9, 2024年3月.
Supawich Jiarakul, Hiroaki Yamada and Takenobu Tokunaga. MONETECH at the NTCIR-17 FinArg-1 Task: Layer Freezing, Data Augmentation, and Data Filtering for Argument Unit Identification. The 17th NTCIR Conference Evaluation of Information Access Technologies, 2023/12/12.
Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Akira Tokutsu, Keisuke Takeshita, Mihoko Sumida. Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction. ArXiv Preprint, 2023/12/1.
伊藤光一, 山田寛章, 徳永健伸. 低資源な法ドメイン含意タスクにおけるデータ拡張. 言語処理学会第29回年次大会発表論文集, pp. 990-885, 2023年3月.
新保彰人, 山田寛章, 徳永健伸. 参照例を使わないキャッチコピーの自動評価. 言語処理学会第29回年次大会発表論文集, pp. 1557-1562, 2023年3月.
鈴木偉士, 山田寛章, 徳永健伸. 敵対的学習を用いた知識蒸留への中間層蒸留と対照学習の導入. 言語処理学会第29回年次大会発表論文集, pp. 783-788, 2023年3月.
石渡太智, 美野秀弥, 後藤淳, 山田寛章, 徳永健伸. 近傍事例を用いた対話における感情認識. 言語処理学会第29回年次大会発表論文集, pp. 567-571, 2023年3月.
山田寛章. 法と人工知能の接点. 情報法制研究, 11 巻 p. 27-33, 2022年5月.
宮崎桂輔, 菅原祐太, 山田寛章, 徳永健伸. 日本語法律分野文書に特化したBERT の構築. 言語処理学会第28回年次大会発表論文集, pp. 1546-1551, 2022年3月.
菅原祐太, 宮崎桂輔, 山田寛章, 徳永健伸. 日本語法律BERTを用いた判決書からの重要箇所抽出. 言語処理学会第28回年次大会発表論文集, pp. 838-841, 2022年3月.
山田寛章, Simone Teufel, 徳永健伸. 見出し情報を考慮した階層型RNNによる日本語判決書のための修辞役割分類. 言語処理学会第26回年次大会発表論文集, pp. 37-40, 2020年3月.
原田康也, 森下美和, 鈴木正紀, 横森大輔, 遠藤智子, 前坊香菜子, 鍋井理沙, 桒原奈な子, 山田寛章, 河村まゆみ. 自律的相互学習の記録と分析からインタラクションの楽しさへ ～ 外国語としての英語自動処理の難しさを超えて ～ (思考と言語). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 118(516). pages 17-22, Mar 2019. ISSN 2432-6380.
山田寛章, Simone Teufel, 徳永健伸. 判決書自動要約のための修辞役割分類. 言語処理学会第24回年次大会発表論文集, pp. 785-788, 2018年3月.
山田寛章, 石井雄隆, 原田康也. 日本人大学生の英語作文からの特徴量の自動抽出に向けて : 予備実験と今後の課題 (思考と言語). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114(100). pages 55-60, Jun 2014. ISSN 0913-5685.

Talks and Presentations

LLMを活用した英作文自動フィードバック の検討

March 09, 2024

Talk at 第56回言語テスト学会研究例会, Online

Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction

December 19, 2023

Talk at “Legal Systems and Artificial Intelligence” Final Event, Tokyo, Japan

Designing automated feedback on source text content representation in a web-based formative assessment module for L2 summary writing

June 08, 2023

Talk at 44th Language Testing Research Colloquium (LTRC), New York, USA

『リーガルイノベーション入門』(パネル)

October 14, 2022

Talk at 一橋大学GGRウェビナー, Tokyo, Japan

日本語判決書を用いたデータセットの構築

March 18, 2022

Talk at NLP2022 Workshop on Japanese Evaluation Dataset (JED2022), Hamamatsu, Japan

テクノロジーとリーガルイノベーション(ゲスト講師)

January 18, 2022

Talk at 一橋大学, Tokyo, Japan

Argument structure-based summarization of Japanese judgment documents

March 21, 2019

Talk at Legal Data Mining Conference, Paris, France

Issue Topic based Argumentative Structure Extraction from Japanese Judgment Documents

November 14, 2018

Talk at National Institute of Informatics (NII), Informal Workshop on Argumentation/Argument Mining, Tokyo, Japan