Papers by Yingxue Fu

3 papers
A Theoretically Grounded Approach to Summarizing Conversation Dynamics for Forecasting the Derailment of Online Conversations (2026.acl-long)

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Challenge: Recent work on conversation derailment prediction relies on linguistic features rooted in linguistic and social theories.
Approach: They propose a system that predicts from the start of a conversation whether it will derail into toxic exchanges.
Outcome: The proposed system achieves 10% performance increase over baseline and 6.47% increase on benchmark dataset.
Towards Unification of Discourse Annotation Frameworks (2022.acl-srw)

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Challenge: Discourse information is difficult to represent and annotate, and corpora annotated under different frameworks vary considerably.
Approach: They propose to use automatic means to unify discourse structures and relations . they will also explore the application of the unified framework in multi-task learning and graphical models .
Outcome: The proposed method can be used in multi-task learning and graphical models.
A Survey of QUD Models for Discourse Processing (2025.naacl-long)

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Challenge: Question Under Discussion (QUD) is a linguistic analytic framework for explaining pragmatic phenomena and information structural analysis.
Approach: They propose to use Question Under Discussion (QUD) to model discourse units, such as sentences, as answers to some implicit or explicit questions.
Outcome: The proposed model is compared with RST, PDTB and SDRT . questions that may require further study are suggested.

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