Omiotis: A Thesaurus-Based Measure of Text Relatedness
Identifieur interne : 001065 ( Main/Exploration ); précédent : 001064; suivant : 001066Omiotis: A Thesaurus-Based Measure of Text Relatedness
Auteurs : George Tsatsaronis ; Iraklis Varlamis [Grèce] ; Michalis Vazirgiannis ; Kjetil N Rv GSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.
Url:
DOI: 10.1007/978-3-642-04174-7_54
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.</div>
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