| Revista: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000423319 |
| ISSN: | 1405-5546 |
| Autores: | Indig, Balázs1 |
| Instituciones: | 1Pazmany Peter Catholic University, Faculty of Information Technology and Bionics, Budapest. Hungría |
| Año: | 2017 |
| Periodo: | Oct-Dic |
| Volumen: | 21 |
| Número: | 4 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | Lexicalization of the input of sequential taggers has gone a long way since it was invented by Molina and Pla [4]. In this paper we thoroughly investigate the method introduced by Indig and Endrédy [2] to find out the best lexicalization level for chunking and to explore the behavior of different IOB representations. Both tasks are applied to the CoNLL-2000 dataset. Our goal is to introduce a transformation method to accommodate the parameters of the development set to the training set using their frequency distributions which other tasks like POS tagging or NER could benefit too |
| Disciplinas: | Bibliotecología y ciencia de la información, Literatura y lingüística |
| Palabras clave: | Lingüística aplicada, Análisis de textos, Separación de frases, Marcaje secuencial |
| Keyword: | Applied linguistics, Text analysis, Sequential tagging, Phrase chunking |
| Texto completo: | Texto completo (Ver PDF) |
