Search Results for author: Peilu Wang

Found 7 papers, 1 papers with code

A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding

no code implementations1 Nov 2015 Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao

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 handwritten documents.

Chunking Feature Engineering +4

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

4 code implementations21 Oct 2015 Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao

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 documents.

Part-Of-Speech Tagging POS +1

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