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

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arxiv 2006.11056 v1 pith:C7XM2HEH submitted 2020-06-19 cs.CL

classification cs.CL
keywords parsingdependencyconstituentarticlesyntacticanalysiscommunitymodels
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion

    cs.CL 2025-01 conditional novelty 7.0 of 10

    LLMs show measurable deficiencies in both decomposition and composition during natural-to-formal conversion, with decomposition errors dominating, under the new DEDC evaluation framework.

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