SOTAVerified

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
GDPNet: Refining Latent Multi-View Graph for Relation ExtractionCode1
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
Dialogue-Based Relation ExtractionCode1
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.