| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560382 |
| ISSN: | 1405-5546 |
| Autores: | Lejeune, Gaël1 Zhu, Lichao2 |
| Instituciones: | 1Sorbonne University, Paris. Francia 2Paris XIII University, Villetaneuse. Francia |
| Año: | 2018 |
| Periodo: | Oct-Dic |
| Volumen: | 22 |
| Número: | 4 |
| Paginación: | 1249-1258 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | In this article, we tackle the problem of evaluation of Web Content Extraction tools. This task is seldom studied in the literature although it has important consequences on the linguistic processing of web-based corpora. Here, we compare two types of evaluation. Firstly, an intrinsic (content-based) evaluation which is carried out in a multilingual setting (five languages). Secondly, an extrinsic (task-based) evaluation on the same corpus by studying the effects of the cleaning step on the performances of an NLP pipeline. We show that in the intrinsic evaluation, the results are not consistent with extrinsic evaluation results. We also show that the results differ greatly in the studied languages. We conclude that the choice of a web page cleaning tool should be made with respect to the task that is tackled rather than the performances observed through the intrinsic evaluation scheme. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | Corpus, Multilingual corpora, Web content extraction, Web page cleaning, Evaluation, Classification, Artificial intelligence |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
