EMNLP 2017 BiLSTM-CNN-CRF Training System

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An EMNLP 2017 BiLSTM-CNN-CRF Training System is a Bidirectional LSTM-CNN-CRF Training System developed by Reimers & Gurevych (2017).



References

2018

2017

2016a

2016b

CNN-arXiv-160301354.png BLSTM-CRF-arXiv-160301354.png
Figure 1: The convolution neural network for extracting character-level representations of words. Dashed arrows indicate a dropout layer applied before character embeddings are input to CNN. Figure 3: The main architecture of our neural network. The character representation for each word is computed by the CNN in Figure 1. Then the character representation vector is concatenated with the word embedding before feeding into the BLSTM network. Dashed arrows indicate dropout layers applied on both the input and output vectors of BLSTM.

2015