End-to-end Deep Reinforcement Learning Based Coreference Resolution

Recent neural network models have significantly advanced the task of coreference resolution. However, current neural coreference models are usually trained with heuristic loss functions that are computed over a sequence of local decisions... (read more)

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Datasets


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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Coreference Resolution CoNLL 2012 reinforced model + ELMO Avg F1 73.8 # 8
Coreference Resolution OntoNotes Reinforced + ELMo F1 73.8 # 5

Methods used in the Paper


METHOD TYPE
Entropy Regularization
Regularization