96 citations
- Microsoft Research Asia (China)CN2 papers
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Showing 2015 · cs.CLShow all
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cs.CL2015★ 74 cited
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding
Peilu Wang, Yao Qian, Frank K. Soong +2
Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) has been shown to be very effective for modeling and predicting sequential data, e.g. speech utterances or…
cs.CL2015★ 96 cited
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
Peilu Wang, Yao Qian, Frank K. Soong +2
Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) has been shown to be very effective for tagging sequential data, e.g. speech utterances or handwritten doc…