Neural Models for Reasoning over Multiple Mentions using Coreference

NAACL 2018 Bhuwan DhingraQiao JinZhilin YangWilliam W. CohenRuslan Salakhutdinov

Many problems in NLP require aggregating information from multiple mentions of the same entity which may be far apart in the text. Existing Recurrent Neural Network (RNN) layers are biased towards short-term dependencies and hence not suited to such tasks... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Question Answering WikiHop Coref-GRU Test 59.3 # 5

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