Heuristic algorithm for extraction of facts using relational model and syntactic data

Grigori Sidorov, Juve Andrea Herrera-de-la-Cruz, Sofía N. Galicia-Haro, Juan Pablo Posadas-Durán, Liliana Chanona-Hernandez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

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.

Idioma originalInglés
Título de la publicación alojadaAdvances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings
Páginas328-337
Número de páginas10
EdiciónPART 1
DOI
EstadoPublicada - 2011
Evento10th Mexican International Conference on Artificial Intelligence, MICAI 2011 - Puebla, México
Duración: 26 nov. 20114 dic. 2011

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen7094 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th Mexican International Conference on Artificial Intelligence, MICAI 2011
País/TerritorioMéxico
CiudadPuebla
Período26/11/114/12/11

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