Papers by Mengnan Xiao

1 papers
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition (2023.acl-long)

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Challenge: Multi-level implicit discourse relation recognition (MIDRR) aims at identifying hierarchical discourse relations among arguments.
Approach: They propose a prompt-based multi-level implicit discourse relation recognition framework that leverages parameter-efficient prompt tuning to drive inputted arguments to match the pre-trained space.
Outcome: The proposed framework achieves comparable results on PDTB 2.0 and 3.0 using about 0.1% trainable parameters compared with baselines.

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