SEPT: Improving Scientific Named Entity Recognition with Span Representation

8 Nov 2019Tan YanHeyan HuangXian-Ling Mao

We introduce a new scientific named entity recognizer called SEPT, which stands for Span Extractor with Pre-trained Transformers. In recent papers, span extractors have been demonstrated to be a powerful model compared with sequence labeling models... (read more)

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Evaluation Results from the Paper


#2 best model for Named Entity Recognition on SciERC (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
Named Entity Recognition SciERC SEPT F1 67.7 # 2