NER with Bidirectional LSTM-CNNs
Journal: Transactions of the Association for Computational Linguistics
Programming languages: Python
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This paper presents a novel neural network architecture that automatically detects word- and character-level features using a hybrid bidirectional LSTM and CNN architecture, eliminating the need for most feature engineering.