351 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN124 papers
- Fudan UniversityCN73 papers
- Tsinghua UniversityCN46 papers
- Chinese Academy of SciencesCN45 papers
- University of Chinese Academy of SciencesCN39 papers
- Nanjing UniversityCN31 papers
- Peking UniversityCN26 papers
- University of Science and Technology of ChinaCN26 papers
- Vladimir State UniversityRU26 papers
- St Petersburg UniversityRU25 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN24 papers
- Beihang UniversityCN21 papers
8 papers · 2 filters
A Pilot Study for Chinese SQL Semantic Parsing
Qingkai Min, Yuefeng Shi, Yue Zhang
The task of semantic parsing is highly useful for dialogue and question answering systems. Many datasets have been proposed to map natural language text into SQL, among which the r…
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo, Yan Zhang, Zhiyang Teng +1
We focus on graph-to-sequence learning, which can be framed as transducing graph structures to sequences for text generation. To capture structural information associated with grap…
Hierarchically-Refined Label Attention Network for Sequence Labeling
Leyang Cui, Yue Zhang
CRF has been used as a powerful model for statistical sequence labeling. For neural sequence labeling, however, BiLSTM-CRF does not always lead to better results compared with BiLS…
Investigating Self-Attention Network for Chinese Word Segmentation
Leilei Gan, Yue Zhang
Neural network has become the dominant method for Chinese word segmentation. Most existing models cast the task as sequence labeling, using BiLSTM-CRF for representing the input an…
Open Domain Event Extraction Using Neural Latent Variable Models
Xiao Liu, Heyan Huang, Yue Zhang
We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters. A novel latent variable neural model is constructed, which is scal…
Code-Switching for Enhancing NMT with Pre-Specified Translation
Kai Song, Yue Zhang, Heng Yu +3
Leveraging user-provided translation to constrain NMT has practical significance. Existing methods can be classified into two main categories, namely the use of placeholder tags fo…
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Yuxiao Ye, Yue Zhang, Weikang Li +2
Cross-domain Chinese Word Segmentation (CWS) remains a challenge despite recent progress in neural-based CWS. The limited amount of annotated data in the target domain has been the…
Semantic Neural Machine Translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang +2
It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many…