Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

Using Subtext to Enhance Generative IDRR

Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2025), 2025

This paper introduces a Subtext-based Confidence-diagnosed Dual-channel Network (SCDN) for enhancing Implicit Discourse Relation Recognition (IDRR) by incorporating subtexts generated through LLaMA. The approach demonstrates significant improvements in recognizing semantic relations between argument pairs, highlighting the importance of subtexts as valuable contextual clues that enrich the understanding of implicit relations, ultimately resulting in higher F1-scores on benchmark datasets.

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Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition

Published in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 2024

This paper proposes a joint learning framework that combines prototypical learning, adversarial learning, and hub-migration based redistribution to enhance the performance of Pre-trained Language Models (PLMs) for implicit discourse relation recognition.

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Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition

Published in Findings of the Association for Computational Linguistics (EMNLP 2023) , 2023

This paper proposes a novel approach, IICOT, that leverages generative models, instruction learning, and chain-of-thoughts to enhance reasoning capabilities for implicit discourse relation recognition, achieving state-of-the-art performance on benchmark datasets.

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Zhipang (William) Wang

Publications

Conference Papers

Using Subtext to Enhance Generative IDRR

Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition

Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition