Leveraging Speech Acts for Low-Data and Cross-Domain Conversation Derailment Forecasting
Speech act information is used as an auxiliary learning signal alongside textual semantics in pragmatic representations of conversations to reduce lexical noise and improve generalizability in conversational derailment forecasting.
A. Yuan, C. de Kock, Christopher Leckie
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