DocumentCode :
2929283
Title :
The Use of Horizontal Visibility Graphs to Identify the Words that Define the Informational Structure of a Text
Author :
Lande, D.V. ; Snarskii, A.A. ; Yagunova, E.V. ; Pronoza, E.V.
Author_Institution :
Inst. for Inf. Recording NAS of Ukraine, NTUU “Kiev Polytech. Inst.”, Kiev, Ukraine
fYear :
2013
fDate :
24-30 Nov. 2013
Firstpage :
209
Lastpage :
215
Abstract :
A compactified horizontal visibility graph for the language network and identification of the words that define the informational structure of a text is proposed. It was found that the networks constructed in such a way are scale free, and have a property that among the nodes with largest degrees there are words that determine not only communicative text structure, but also its informational structure.
Keywords :
graph theory; network theory (graphs); text analysis; communicative text structure; horizontal visibility graphs; language network; text informational structure; words identification; Coherence; Complex networks; Digital signal processing; Dispersion; Information retrieval; Rivers; Signal processing algorithms; TFIDF; dispersion estimated value; horizontal visibility graph; informational structure; language network; text coherence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence (MICAI), 2013 12th Mexican International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4799-2604-6
Type :
conf
DOI :
10.1109/MICAI.2013.33
Filename :
6714670
Link To Document :
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