Title | Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data |
Publication Type | Book Chapter |
Year of Publication | 2011 |
Authors | Sidorov G, Herrera-de-la-Cruz J, Galicia-Haro S, Posadas-Durán J, Chanona-Hernandez L |
Editor | Batyrshin I, Sidorov G |
Book Title | Advances in Artificial Intelligence |
Series Title | Lecture Notes in Computer Science |
Volume | 7094 |
Pagination | 328-337 |
Publisher | Springer |
City | Berlin / Heidelberg |
ISBN Number | 978-3-642-25323-2 |
Abstract | 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. |
DOI | 10.1007/978-3-642-25324-9_28 |
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