Deep learning approach for negation trigger and scope recognition

  1. Hermenegildo Fabregat
  2. Lourdes Araujo Serna
  3. Juan Martínez Romo
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2019

Número: 62

Páginas: 37-44

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

The automatic detection of negation elements is an active area of study due to its high impact on several natural language processing tasks. This article presents a system based on deep learning and a non-language dependent architecture for the automatic detection of both, triggers and scopes of negation for English and Spanish. The presented system obtains for English comparable results with those obtained in recent works by more complex systems. For Spanish, the results obtained in the detection of negation triggers are remarkable. The results for the scope recognition are similar to those obtained for English.

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Información de financiación

This work has been partially supported by the Spanish Ministry of Science and Innovation within the projects PROSA- MED (TIN2016-77820-C3-2-R) and EX- TRAE (IMIENS 2017).

Financiadores

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