Autores
Gelbukh Alexander
Título On Causality Problem in Natural Language Processing Field
Tipo Revista
Sub-tipo CONACYT
Descripción Computación y Sistemas
Resumen Natural language processing (NLP) field has been developing rapidly recently. This article consists mainly of literature review of the basic understanding and solving the causality problem in natural language processing field. Existing models may benefit from the concept of causality because conventional language models are brittle and spurious [10]. Incorporating the principle of causality could assist in resolving this issue. Since this issue affects seriously on the accuracy value of NLP methods and algorithms, it is worth paying attention to. Content of the article includes the authors who have been covered this topic and have made researches respecting mentioned problem, the results that have been achieved, the methods and approached that have been used and the data that was used in researches. © 2022 Instituto Politecnico Nacional. All rights reserved.
Observaciones DOI 10.13053/CyS-26-4-4434
Lugar Ciudad de México
País Mexico
No. de páginas 1549-1556
Vol. / Cap. v. 26 no. 4
Inicio 2022-10-01
Fin
ISBN/ISSN