Reinforcement-based denoising of distantly supervised NER with partial annotation

WS 2019 Farhad NooralahzadehJan Tore L{\o}nningLilja {\O}vrelid

Existing named entity recognition (NER) systems rely on large amounts of human-labeled data for supervision. However, obtaining large-scale annotated data is challenging particularly in specific domains like health-care, e-commerce and so on... (read more)

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Evaluation Results from the Paper


 SOTA for Named Entity Recognition on BC5CDR (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 BC5CDR NER+PA+RL (PubMed) F1 89.93 # 1