Papers with Gazetteer-Enhanced Attentive Neural Networks

1 papers
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition (D19-1)

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Challenge: Named entity recognition (NER) is a fundamental NLP task.
Approach: They propose a gazetteer-based attentive neural network which can enhance region-based NER . they first model the mention-context association and then an auxiliary gazetteers .
Outcome: The proposed approach can achieve state-of-the-art on ACE2005 named entity recognition benchmark.

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