| Título |
Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science |
| Resumen |
From semantic point of view, information is usually contained in small units, called facts that are usually smaller than sentences. Identification of these facts in a text is not a trivial task. We present a heuristic algorithm for extraction of facts from sentences using a simple representation based on a relational data model. We focus our study on texts that contain a lot of facts by their nature: structured textbooks. The algorithm is based on data obtained by a syntactic analyzer. The obtained facts can be useful for information retrieval tasks, automatic summarization, etc. Our experiments are conducted for Spanish language. We obtained better results than the similar methods. |
| Observaciones |
10th Mexican International Conference on Artificial Intelligence, MICAI 2011; Code 87491 |
| Lugar |
Puebla |
| País |
Mexico |
| No. de páginas |
328-337 |
| Vol. / Cap. |
7094 |
| Inicio |
2011-11-26 |
| Fin |
2011-12-26 |
| ISBN/ISSN |
978-3-642-25323-2 |
