CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning

24 Nov 2019Daojian ZengHaoran ZhangQianying Liu

Joint extraction of entities and relations has received significant attention due to its potential of providing higher performance for both tasks. Among existing methods, CopyRE is effective and novel, which uses a sequence-to-sequence framework and copy mechanism to directly generate the relation triplets... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Relation Extraction NYT CopyRE' OneDecoder F1 72.2 # 3
Relation Extraction WebNLG CopyRE' OneDecoder F1 60.5 # 2