Hiroaki Yamada

Orcid: 0000-0002-1963-958X

Affiliations:
  • Tokyo Institute of Technology, School of Computing, Japan


According to our database1, Hiroaki Yamada authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination.
CoRR, 2024

2023
Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour.
Inf. Process. Manag., 2023

Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction.
CoRR, 2023

Nearest Neighbor Search for Summarization of Japanese Judgment Documents.
Proceedings of the Legal Knowledge and Information Systems, 2023

2022
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Cross-domain Analysis on Japanese Legal Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

2019
Building a corpus of legal argumentation in Japanese judgement documents: towards structure-based summarisation.
Artif. Intell. Law, 2019

Neural Network Based Rhetorical Status Classification for Japanese Judgment Documents.
Proceedings of the Legal Knowledge and Information Systems, 2019

Supporting content evaluation of student summaries by Idea Unit embedding.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2017
Designing an annotation scheme for summarizing Japanese judgment documents.
Proceedings of the 9th International Conference on Knowledge and Systems Engineering, 2017

Annotation of argument structure in Japanese legal documents.
Proceedings of the 4th Workshop on Argument Mining, 2017


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