36 citations · 58 across the 4 of their papers we have counts for
7 papers · 1 filter
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
Jie Yang, Yue Zhang, Shuailong Liang
We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences informat…
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang, Shuailong Liang, Yue Zhang
We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include…
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang, Yue Zhang
This paper describes NCRF++, a toolkit for neural sequence labeling. NCRF++ is designed for quick implementation of different neural sequence labeling models with a CRF inference l…
Chinese NER Using Lattice LSTM
Yue Zhang, Jie Yang
We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon. Compared with char…
Combining Discrete and Neural Features for Sequence Labeling
Jie Yang, Zhiyang Teng, Meishan Zhang +1
Neural network models have recently received heated research attention in the natural language processing community. Compared with traditional models with discrete features, neural…
Neural Reranking for Named Entity Recognition
Jie Yang, Yue Zhang, Fei Dong
We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve…