Neural Architectures for Named Entity Recognition

domain-specic knowledge in order to learn effectively from the small, supervised training corpora that are available. In this paper, we ... Recurrent neural networks (RNNs) are a family of neural networks that operate on sequential ... achieved using a second LSTM that reads the same sequence in reverse. We will refer to the former as

  Architecture, Network, Entity, Second, Order, Named, Neural network, Neural, Recurrent, Recurrent neural networks, Neural architectures for named entity