A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures

June 19, 2020 ยท The Cartographer ยท ๐Ÿ› Science China Technological Sciences

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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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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