natural-language-processing-9
relation explanation
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
D-REX: Dialogue Relation Extraction with Explanations
Alon Albalak, L. Getoor, W. Wang, Varun R. Embar, Yi-Lin Tuan•Thu Sep 09 2021
This work proposes a model-agnostic framework, D-REX, a policy-guided semi-supervised algorithm that optimizes for explanation quality and relation extraction simultaneously, and frames relation extraction as a re-ranking task and includes relation- and entity-specific explanations as an intermediate step of the inference process.
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