Categorization of Semantic Roles for Dictionary Definitions
Not on the map. Why?
Abstract (arXiv)
Understanding the semantic relationships between terms is a fundamental task in natural language processing applications. While structured resources that can express those relationships in a formal way, such as ontologies, are still scarce, a large number of linguistic resources gathering dictionary definitions is becoming available, but understanding the semantic structure of natural language definitions is fundamental to make them useful in semantic interpretation tasks. Based on an analysis of a subset of WordNet's glosses, we propose a set of semantic roles that compose the semantic structure of a dictionary definition, and show how they are related to the definition's syntactic configuration, identifying patterns that can be used in the development of information extraction frameworks and semantic models.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 20 Jun 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.
- 2022Learning Disentangled Representations for Natural Language Definitionscited by 12
- 2023Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitionscited by 4
- 2024Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Modelscited by 2
- 2024Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models5 Aug 2024
- 2023Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions12 May 2023
- 2022Learning Disentangled Representations for Natural Language Definitions22 Sep 2022