Relaciones entre entidades nombradas en un texto noticioso
The article focuses on the analysis of news texts within a tagged corpus, addressing various topics. It presents a classification of semantic relationships between named entities in the tagged text in XML format, along with a description of the used tags. The main objective is to develop a solution...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
Instituto de Lingüística, Facultad de Filosofía y Letras, Universidad Nacional de Cuyo
2023
|
| Materias: | |
| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/analeslinguistica/article/view/6677 |
| Sumario: | The article focuses on the analysis of news texts within a tagged corpus, addressing various topics. It presents a classification of semantic relationships between named entities in the tagged text in XML format, along with a description of the used tags. The main objective is to develop a solution for extracting relationshipsbetween named entities in Spanish news, based on grammatical tagging, entity detection, and coreference resolution. The method employed consisted of grammatical tagging and syntactic analysis, covering both named entities and thegrammatical and semantic relationships. This proposal is considered useful for thedevelopment and evaluation of new information extraction systems in Spanish, concluding that corpora, corpus linguistics, and computational linguistics are valuable tools in the process of teaching computers automatic understanding ofnatural language. |
|---|
