Memorias de investigación
Ponencias en congresos:
Knowledge-based approach to Winograd Schema Challenge
Año:2019
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
We propose a method to resolve anaphoric pronouns in the framework of Winograd Schema Challenge (WSC) by means of SemETAP ? a knowledge-based semantic analyzer. WSC is a modern version of the famous Turing test. Its objective is to check a machine?s ability to exhibit intelligent behavior indistinguishable from that of a human. In contrast to other approaches to WSC, which are based on machine learning, our method uses explicit knowledge. An important advantage of this approach is that it gives an opportunity to provide an explanation of the result understandable for humans. SemETAP interprets the text using both linguistic and extralinguistic (background) knowledge. The former is stored in the grammar and the dictionary of the ETAP-4 system, and the latter is provided by the SemETAP ontology, inference rules and the repository of individuals. We show how this knowledge is used for resolving WSC. At the moment, the performance of the algorithm is not high ? 54%. This is due to the incompleteness of the background knowledge supplied to the system. It is shown, however, that if the background knowledge is complete and accurate enough, the WSC test is resolved well and it is easily understandable why the system arrived at a particular conclusion.
Internacional
Si
Nombre congreso
2019 Annual International Conference on Computational Linguistics and Intellectual Technologies, Dialogue 2019
Tipo de participación
960
Lugar del congreso
Moscú, Rusia
Revisores
Si
ISBN o ISSN
22217932
DOI
Fecha inicio congreso
29/05/2019
Fecha fin congreso
01/06/2019
Desde la página
86
Hasta la página
103
Título de las actas
Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference ?Dialogue 2019"
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Validación y Aplicaciones Industriales
  • Departamento: Inteligencia Artificial