Span-based Joint Entity and Relation Extraction with Transformer Pre-training

17 Sep 2019Markus EbertsAdrian Ulges

We introduce SpERT, an attention model for span-based joint entity and relation extraction. Our key contribution is a light-weight reasoning on BERT embeddings, which features entity recognition and filtering, as well as relation classification with a localized, marker-free context representation... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT LEADERBOARD
Relation Extraction ADE Corpus SpERT Entity+Relation F1 78.84 # 1
Entity F1 89.28 # 1
Relation Extraction CoNLL04 SpERT Entity F1 88.94 # 1
Relation F1 71.47 # 1
Named Entity Recognition SciERC SpERT F1 70.33 # 1
Joint Entity and Relation Extraction SciERC SpERT Entity F1 70.33 # 1
Relation F1 50.84 # 1