Cmap
AUTOMATIC CONSTRUCTION OF CONCEPT MAPS FROM TEXTS

Aguiar, Camila Z. and Cury, Davidson and Zouaq, Amal AUTOMATIC CONSTRUCTION OF CONCEPT MAPS FROM TEXTS.

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Abstract

The automatic construction of concept maps from texts is still an ongoing research topic, especially when the map should represent, by means of concepts and relationships, a summarization of a complex text. We propose a new method for the automatic generation of concept maps. Based on an analysis of the limitations and best features of the state-of-the-art, this paper introduces a pipeline that comprises (a) grammar rules and depth-first search for the extraction of concepts and links between them from text; (b) anaphora resolution; (c) exploitation of named entities for concept identification; and (d) concept relevance calculation through frequency of occurrence and an analysis of the topology of the concept map. The approach and preliminary results are presented in the form of a prototype, which is still under development.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Claudia Martínez
Date Deposited: 12 Oct 2018 08:33
Last Modified: 12 Oct 2018 08:33
URI: http://eprint.ihmc.us/id/eprint/500

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