Papers with Textual Entailment model

1 papers
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations (2022.naacl-demo)

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Challenge: Information Extraction (IE) analysts use supervised machine learning to define the schema and build a training corpus with annotated examples.
Approach: They propose a workflow where the analyst verbalizes the entities/relations, which are then used by a Textual Entailment model to perform zero-shot IE.
Outcome: The proposed workflow performs very well on four IE tasks with a single user interface and a video demonstration is available on vimeo.

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