TCDA introduces TC-DAG to filter cross-thread noise while preserving temporal order and D-RoPE to align semantics across layers and reduce distance dilution, achieving state-of-the-art results on two DiaASQ benchmarks.
S eq2 P ath: Generating Sentiment Tuples as Paths of a Tree
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TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis
TCDA introduces TC-DAG to filter cross-thread noise while preserving temporal order and D-RoPE to align semantics across layers and reduce distance dilution, achieving state-of-the-art results on two DiaASQ benchmarks.