Heuristic algorithm for extraction of facts using relational model and syntactic data
作者： Grigori Sidorov , Juve Andrea Herrera-de-la-Cruz , Sofía N. Galicia-Haro , Juan Pablo Posadas-Durán , Liliana Chanona-Hernandez
DOI: 10.1007/978-3-642-25324-9_28
关键词:
摘要: From semantic point of view, information is usually contained in small units, called facts that are smaller than sentences. Identification these a text not trivial task. We present heuristic algorithm for extraction from sentences using simple representation based on relational data model. focus our study texts contain lot by their nature: structured textbooks. The obtained syntactic analyzer. can be useful retrieval tasks, automatic summarization, etc. Our experiments conducted Spanish language. better results the similar methods.
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