A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jun 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 1; 2025: 2.
7 papers.
- 2025FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Methodcited by 7
- 2024Text2MDT: Extracting Medical Decision Trees from Medical Textscited by 6
- 2023SoK: Access Control Policy Generation from High-level Natural Language Requirementscited by 5
- 2021Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesiscited by 3
- 2023Predicting Music Hierarchies with a Graph-Based Neural Decodercited by 2
- 2023Strahler Number of Natural Language Sentences in Comparison with Random Treescited by 0
- 2025Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversioncited by 0
- 2025FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method6 Oct 2025
- 2025Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion24 Jan 2025
- 2024Text2MDT: Extracting Medical Decision Trees from Medical Texts4 Jan 2024
- 2023SoK: Access Control Policy Generation from High-level Natural Language Requirements5 Oct 2023
- 2023Strahler Number of Natural Language Sentences in Comparison with Random Trees6 Jul 2023
- 2023Predicting Music Hierarchies with a Graph-Based Neural Decoder29 Jun 2023
- 2021Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis14 Apr 2021