Un detector de la unidad central de un texto basado en técnicas de aprendizaje automático en textos científicos para el euskera

  1. Atutxa Salazar, Aitziber
  2. Iruskieta Quintian, Mikel
  3. Bengoetxea Kortazar, Kepa
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2017

Número: 58

Páginas: 37-44

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

This paper presents an automatic detector of the discourse central unit (CU) in scientific abstracts based on machine learning techniques. After segmenting a text in its elementary discourse units, the detection of the central unit is a crucial step on the way to robustly build discourse trees under the Rhetorical Structure Theory (RST). Besides, CU detection may also be useful in automatic summarization, question answering and sentiment analysis tasks. Results show that the CU detection using machine learning techniques for Basque scientific abstracts outperform rule based techniques, even on a small size corpus on different domains. This leads us to think that there is still room for improvement.

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