| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560546 |
| ISSN: | 1405-5546 |
| Autores: | Alkhatnai, Mubarak1 Amjad, Hamza Imam2 Amjad, Maaz3 Gelbukh, Alexander3 |
| Instituciones: | 1King Saud University, Department of English Language and Translation, Riyadh. Arabia Saudí 2Moscow Institute of Physics and Technology, Rusia 3Instituto Politécnico Nacional, Centro de Investigación en Computación, México |
| Año: | 2020 |
| Periodo: | Oct-Dic |
| Volumen: | 24 |
| Número: | 4 |
| Paginación: | 1607-1615 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Machine Reading Comprehension (MRC) is an essential task in natural language understanding in which the goal is to teach machines to understand the text. Machine understanding can be evaluated through question answering techniques. Limited research has been done in Arabic reading comprehension. This study presents a survey on trends and methods of Machine Reading Comprehension (MRC) methods in Arabic. The survey summarizes recent advances in Arabic reading comprehension, primarily emphasizing on two aspects (i.e., available datasets and methods). The study provides a detailed analysis of MRC techniques and compares various datasets used to study Arabic reading compression. |
| Disciplinas: | Literatura y lingüística, Ciencias de la computación |
| Palabras clave: | Lingüística aplicada, Inteligencia artificial |
| Keyword: | Machine reading comprehension, Low-resource language, Arabic language, Applied linguistics, Artificial intelligence |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
