Improving Coreference Resolution by Learning Entity-Level Distributed Representations

ACL 2016 Kevin ClarkChristopher D. Manning

A long-standing challenge in coreference resolution has been the incorporation of entity-level information - features defined over clusters of mentions instead of mention pairs. We present a neural network based coreference system that produces high-dimensional vector representations for pairs of coreference clusters... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Coreference Resolution OntoNotes NN Cluster Ranker F1 65.29 # 12

Methods used in the Paper


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