163 citations · 461 across the 17 of their papers we have counts for
6 papers · 1 filter
N-ary Relation Extraction using Graph State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang +1
Cross-sentence -ary relation extraction detects relations among entities across multiple sentences. Typical methods formulate an input as a \textit{document graph}, integrat…
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…
Sentence-State LSTM for Text Representation
Yue Zhang, Qi Liu, Linfeng Song
Bi-directional LSTMs are a powerful tool for text representation. On the other hand, they have been shown to suffer various limitations due to their sequential nature. We investiga…
A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus, Hongmin Wang, Emmanuele Chersoni +1
Word Embeddings have recently imposed themselves as a standard for representing word meaning in NLP. Semantic similarity between word pairs has become the most common evaluation be…
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…