princeton-nlp/PURE
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
Decomposes extraction into separate entity and relation models that use typed entity markers for efficient pairwise classification, with an approximation variant enabling batch computation for faster inference. Built on PyTorch with support for transformer backbones (BERT, SciBERT, ALBERT) and includes pre-trained models for ACE04/05 and SciERC datasets. Handles both single-sentence and cross-sentence contexts via configurable context windows.
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Jul 07, 2022
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