Papers by Caihua Yang

2 papers
PITA: Prompting Task Interaction for Argumentation Mining (2024.acl-long)

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Challenge: Argumentation mining (AM) aims to detect arguments and their inherent relations from textual compositions.
Approach: They propose a method to model the inter-relationships among three subtasks within a generative framework.
Outcome: The proposed method achieves state-of-the-art performance on two AM benchmarks.
Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining (2024.findings-acl)

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Challenge: Recent advances in AM models overlook the integration of supplementary discourse structure information, resulting in suboptimal outcomes.
Approach: They propose a framework which generates discourse structure-aware prefixes for each layer of the generation model.
Outcome: The proposed framework achieves state-of-the-art performance on two AM benchmarks.

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