Papers by Asahi Yoshida

2 papers
Revisiting Syntax-Based Approach in Negation Scope Resolution (2023.starsem-1)

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Challenge: Existing methods for negation scope resolution without syntactic structure performed better.
Approach: They re-evaluate the effectiveness of syntactic structure in negation scope resolution . they replace the parser employed in previous studies with state-of-the-art parsers .
Outcome: The proposed method performs better without syntactic structure than previous methods . the proposed method is comparable to state-of-the-art methods based on heuristic rules .
Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset (2024.lrec-main)

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Challenge: Negation scope resolution models that use pre-trained language models perform worse when fine-tuned on a combined dataset.
Approach: They propose to automatically convert the negation scopes of BioScope and SFU to those of Sherlock and merge them into a unified dataset.
Outcome: The proposed method improves on the unified dataset compared to the simply combined dataset.

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