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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data
verfasst von : Grigori Sidorov, Juve Andrea Herrera-de-la-Cruz, Sofía N. Galicia-Haro, Juan Pablo Posadas-Durán, Liliana Chanona-Hernandez
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.