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ORCIDHiroaki Yamada 0002
Person information
- unicode name: 山田 寛章
- affiliation: Tokyo Institute of Technology, School of Computing, Japan
Other persons with the same name
- Hiroaki Yamada 0001 — Fujitsu Laboratories LTD., Nakahara, Kawasaki, Japan
- Hiroaki Yamada 0003
![[0000-0001-5803-8632]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5803-8632")
— Yamaguchi University, Ube, Japan - Hiroaki Yamada 0004 — Tokyo Gakugei University, Tokyo, Japan
- Hiroaki Yamada 0005 — Niigata University, Niigata, Japan
- Hiroaki Yamada 0006 — Kyoto University, Japan
- Hiroaki Yamada 0007 — OMRON Corp, Shiga, Japan
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2020 – today
- 2024
[c10]Fariz Ikhwantri, Hiroaki Yamada, Takenobu Tokunaga:
Analyzing Interpretability of Summarization Model with Eye-gaze Information. LREC/COLING 2024: 939-950- [c9]Yûsei Kido, Hiroaki Yamada, Takenobu Tokunaga, Rika Kimura, Yuriko Miura, Yumi Sakyo, Naoko Hayashi:
Automatic Question Generation for the Japanese National Nursing Examination Using Large Language Models. CSEDU (1) 2024: 821-829 - [i4]Ha-Thanh Nguyen, Hiroaki Yamada, Ken Satoh:
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination. CoRR abs/2403.18098 (2024) - [i3]Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
A Comprehensive Evaluation of Semantic Relation Knowledge of Pretrained Language Models and Humans. CoRR abs/2412.01131 (2024) - [i2]Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition. CoRR abs/2412.02138 (2024) - 2023
- [j2]Fariz Ikhwantri, Jan Wira Gotama Putra, Hiroaki Yamada, Takenobu Tokunaga:
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour. Inf. Process. Manag. 60(2): 103195 (2023) - [c8]Akito Shimbo, Yuta Sugawara, Hiroaki Yamada, Takenobu Tokunaga:
Nearest Neighbor Search for Summarization of Japanese Judgment Documents. JURIX 2023: 335-340 - [i1]Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Akira Tokutsu, Keisuke Takeshita, Mihoko Sumida:
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction. CoRR abs/2312.00480 (2023) - 2022
- [c7]Keisuke Miyazaki, Hiroaki Yamada, Takenobu Tokunaga:
Cross-domain Analysis on Japanese Legal Pretrained Language Models. AACL/IJCNLP (Findings) 2022: 274-281 - [c6]Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Keisuke Takeshita, Mihoko Sumida:
Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales. LREC 2022: 779-790 - [c5]Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga, Yasuyo Sawaki, Mika Ishizuka:
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis. LREC 2022: 4663-4673
2010 – 2019
- 2019
- [j1]Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Building a corpus of legal argumentation in Japanese judgement documents: towards structure-based summarisation. Artif. Intell. Law 27(2): 141-170 (2019) - [c4]Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga, Yasuyo Sawaki:
Supporting content evaluation of student summaries by Idea Unit embedding. BEA@ACL 2019: 343-348 - [c3]Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Neural Network Based Rhetorical Status Classification for Japanese Judgment Documents. JURIX 2019: 133-142 - 2017
- [c2]Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Annotation of argument structure in Japanese legal documents. ArgMining@EMNLP 2017: 22-31 - [c1]Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Designing an annotation scheme for summarizing Japanese judgment documents. KSE 2017: 275-280
Coauthor Index
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