Named Entity Recognition with Bidirectional LSTM-CNNs

Abstract

Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance. In this paper, we present a novel neural network architecture that automatically detects wordand character-level features using a hybrid bidirectional LSTM and CNN architecture… (More)

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@article{Chiu2016NamedER, title={Named Entity Recognition with Bidirectional LSTM-CNNs}, author={Jason P. C. Chiu and Eric Nichols}, journal={TACL}, year={2016}, volume={4}, pages={357-370} }