natural-language-processing-18
Dialog Relation Extraction
3260 papers • 126 benchmarks • 313 datasets
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.
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Benchmarks
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DialogRE
DialogRE
DDRel
DDRel
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