Papers by Changjian Jiang

3 papers
Align Voting Behavior with Public Statements for Legislator Representation Learning (2021.acl-long)

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Challenge: Existing studies rely on roll call data to estimate political preference of legislators.
Approach: They propose to integrate voting behavior and public statements on Twitter to jointly model legislators.
Outcome: The proposed model improves on the task of roll call vote prediction . it also shows that the model captures nuances in statements .
Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification (2021.findings-acl)

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Challenge: Existing researches focus on sentence matching but the interaction of opinions requires reasoning of knowledge, which is beyond textual information.
Approach: They propose to leverage external knowledge to enhance the identification of interactive argument pairs by analyzing the discussion thread of the target topic in an online forum.
Outcome: The proposed model achieves state-of-the-art in the benchmark dataset.
A Two Stage Adaptation Framework for Frame Detection via Prompt Learning (2022.coling-1)

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Challenge: Existing frameworks focus on a single scenario or issue, ignoring the special characteristics of frame detection that new events emerge continuously and policy agenda changes dynamically.
Approach: They propose a framework to adapt to different contexts and frame typologies . they propose coding tasks that learn transferable encoders and verbalizers based on pivots and prompts - and generalization tasks that apply them to new issues and label sets.
Outcome: The proposed framework shows superiority in both full-resource and low-resourced conditions.

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