SOTAVerified

Zero-shot Relation Triplet Extraction

Given an input sentence, the task is to extract triplets consisting of the head entity, relation label, and tail entity where the relation label is not seen at the training stage.

Papers

Showing 1–5 of 5 papers

TitleStatusHype
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction—0
Zero-shot Triplet Extraction by Template InfillingCode1
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection—0
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence EncodersCode1
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