%0 Journal Article %1 jensen_method_2008 %A Jensen, D. %A Giraud-Carrier, C. %A Davis, N. %D 2008 %J Journal of Web Semantics %K knowledge-basedsemantics,semanticdistance,topologicalembedding,wordnet %N 2 %P 99--108 %R DOI 10.1016/j.websem.2007.11.001 %T A method for computing lexical semantic distance using linear functionals %U internal-pdf://Jensen-2008-A method for computi-0411845903/Jensen-2008-A method for computi.pdf %V 6 %X This paper presents a novel, knowledge-based method for measuring semantic similarity in support of applications aimed at organizing and retrieving relevant textual information. We show how a quantitative context may be established for what is essentially qualitative in nature by effecting a topological transformation of the lexicon into a metric space where distance is well-defined. We illustrate the technique with a simple example and report on promising experimental results with a significant word similarity problem. (C) 2007 Elsevier B.V. All rights reserved.

@article{jensen_method_2008, abstract = {This paper presents a novel, knowledge-based method for measuring semantic similarity in support of applications aimed at organizing and retrieving relevant textual information. We show how a quantitative context may be established for what is essentially qualitative in nature by effecting a topological transformation of the lexicon into a metric space where distance is well-defined. We illustrate the technique with a simple example and report on promising experimental results with a significant word similarity problem. {(C)} 2007 Elsevier {B.V.} All rights reserved.}, added-at = {2009-06-04T20:45:02.000+0200}, author = {Jensen, D. and {Giraud-Carrier}, C. and Davis, N.}, biburl = {https://www.bibsonomy.org/bibtex/28eb54e8ba1f2ee13e87c16171b6e2e0e/quesada}, description = {{295ZL} Times Cited:0 Cited References Count:31}, doi = {{DOI} 10.1016/j.websem.2007.11.001}, interhash = {1ea09ea85543b14430593cc9b2eaf95b}, intrahash = {8eb54e8ba1f2ee13e87c16171b6e2e0e}, issn = {1570-8268}, journal = {Journal of Web Semantics}, keywords = {knowledge-basedsemantics,semanticdistance,topologicalembedding,wordnet}, number = 2, pages = {99--108}, timestamp = {2009-06-04T20:45:02.000+0200}, title = {A method for computing lexical semantic distance using linear functionals}, url = {internal-pdf://Jensen-2008-A method for computi-0411845903/Jensen-2008-A method for computi.pdf}, volume = 6, year = 2008 }