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Dialog Relation Extraction

Dialog Relation Extraction is the task of predicting the relation type between entities mentioned in dialogue. It uses multiple tokens to capture possible relations between pairs of entities in the dialogue. The popular benchmark for this task is the DialogRE dataset. The models are typically evaluated with the metric of F1 Score for both standard-setting and conversational settings.

Papers

Showing 1114 of 14 papers

TitleStatusHype
D-REX: Dialogue Relation Extraction with ExplanationsCode0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
Speaker-Oriented Latent Structures for Dialogue-Based Relation ExtractionCode0
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues0
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