A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures
June 19, 2020 ยท The Cartographer ยท ๐ Science China Technological Sciences
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"Title-pattern auto-detect: A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures"
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Authors
Meishan Zhang
arXiv ID
2006.11056
Category
cs.CL: Computation & Language
Citations
39
Venue
Science China Technological Sciences
Last Checked
1 day ago
Abstract
Syntactic and semantic parsing has been investigated for decades, which is one primary topic in the natural language processing community. This article aims for a brief survey on this topic. The parsing community includes many tasks, which are difficult to be covered fully. Here we focus on two of the most popular formalizations of parsing: constituent parsing and dependency parsing. Constituent parsing is majorly targeted to syntactic analysis, and dependency parsing can handle both syntactic and semantic analysis. This article briefly reviews the representative models of constituent parsing and dependency parsing, and also dependency graph parsing with rich semantics. Besides, we also review the closely-related topics such as cross-domain, cross-lingual and joint parsing models, parser application as well as corpus development of parsing in the article.
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