Papers by Eri Onami

2 papers
LegalViz: Legal Text Visualization by Text To Diagram Generation (2025.naacl-long)

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Challenge: Graphviz provides diagrams for legal documents that are easy to understand and understand . a novel dataset of 23 languages and 7,010 cases of legal document and visualization pairs is proposed .
Approach: They propose a dataset of legal diagrams using DOT graph description language of Graphviz.
Outcome: The proposed dataset outperforms existing models including GPTs in 23 languages and 7,010 cases of legal document and visualization pairs.
JDocQA: Japanese Document Question Answering Dataset for Generative Language Models (2024.lrec-main)

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Challenge: Document question answering is a task of question answering on given documents such as reports, slides, pamphlets, and websites.
Approach: They propose a large-scale document-based QA dataset that requires both visual and textual information to answer questions.
Outcome: The proposed dataset incorporates multiple categories of questions and unanswerable questions from the document for realistic question-answering applications.

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