A Neural Transition-Based Approach for Semantic Dependency Graph Parsing

@inproceedings{Wang2018ANT,
  title={A Neural Transition-Based Approach for Semantic Dependency Graph Parsing},
  author={Yuxuan Wang and Wanxiang Che and Jiang Guo and Ting Liu},
  booktitle={AAAI},
  year={2018}
}
Semantic dependency graph has been recently proposed as an extension of tree-structured syntactic or semantic representation for natural language sentences. It particularly features the structural property of multi-head, which allows nodes to have multiple heads, resulting in a directed acyclic graph (DAG) parsing problem. Yet most statistical parsers focused exclusively on shallow bi-lexical tree structures, DAG parsing remains under-explored. In this paper, we propose a neural transition… CONTINUE READING

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