Deep Reinforcement Learning for Mention-Ranking Coreference Models

EMNLP 2016 Kevin ClarkChristopher D. Manning

Coreference resolution systems are typically trained with heuristic loss functions that require careful tuning. In this paper we instead apply reinforcement learning to directly optimize a neural mention-ranking model for coreference evaluation metrics... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Coreference Resolution OntoNotes Reward Rescaling F1 65.73 # 11

Methods used in the Paper


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