Evaluation of open information extraction methods using Reuters-21578 database
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| Otros autores o Colaboradores: | , , |
| Formato: | Capítulo de libro |
| Lengua: | inglés |
| Acceso en línea: | http://dx.doi.org/10.1145/3184066.3184099 Consultar en el Cátalogo |
| Resumen: | The following article shows the precision, the recall and the F1-measure for three knowledge extraction methods under Open Information Extraction paradigm. These methods are: ReVerb, OLLIE and ClausIE. For the calculation of these three measures, a representative sample of Reuters-21578 was used; 103 newswire texts were taken randomly from that database. A big discrepancy was observed, after analyzing the obtained results, between the expected and the observed precision for ClausIE. In order to save the observed gap in ClausIE precision, a simple improvement is proposed for the method. Although the correction improved the precision of Clausie, ReVerb turned out to be the most precise method; however ClausIE is the one with the better F1-measure. |
| Notas: | Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) |
| Descripción Física: | 1 archivo (375,3 kB) |
| DOI: | 10.1145/3184066.3184099 |