BibSonomyburst/tag/wordnetBibSonomy RSS feed for /tag/wordnet2012-02-15T08:45:07+01:00http://www.bibsonomy.org/bibtex/27d20bf815d145f07a72a637ac47de24f/folkefolke2011-12-28T11:06:20+01:00clustering evaluation tag topics wordnet <span class="authorEditorList"><a href="/author/Newman">David Newman</a>, <a href="/author/Lau">Jey Han Lau</a>, <a href="/author/Grieser">Karl Grieser</a>, and <a href="/author/Baldwin">Timothy Baldwin</a> </span><em>Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, </em><em>page 100--108. </em><em>Los Angeles, California, </em><em>Association for Computational Linguistics, </em>(<em>June 2010</em>)Wed Dec 28 11:06:20 CET 2011Los Angeles, CaliforniaHuman Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational LinguisticsJune100--108Automatic Evaluation of Topic Coherence2010clustering evaluation tag topics wordnet http://www.bibsonomy.org/bibtex/2022ccb7184fcd0e43092fca13fd56a00/victorinostarvictorinostar2011-12-16T13:52:35+01:00co-occurrence cosine_similarity folkrank relatedness semantic_grounding similarity wordnet <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>The Semantic Web - ISWC 2008, </em><em>volume 5318 of Lecture Notes in Computer Science, </em><em>Springer Berlin / Heidelberg, </em>(<em>2008</em>)Fri Dec 16 13:52:35 CET 2011The Semantic Web - ISWC 2008The Semantic Web - ISWC 2008615--631Lecture Notes in Computer Science{Semantic Grounding of Tag Relatedness in Social Bookmarking Systems}53182008co-occurrence cosine_similarity folkrank relatedness semantic_grounding similarity wordnet {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptions on the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity in terms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of the investigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}http://www.bibsonomy.org/bibtex/2b5e38dd3a47cd9124a7e075141c582fd/gergiegergie2011-12-12T19:01:51+01:00ASP wordnet <span class="authorEditorList"><a href="/author/Bock">Jürgen Bock</a> </span><em>Faculty of Engineering and Information Technology, School of Information and Communication Technology, Griffith University, </em><em>Nathan Campus, Brisbane, Australia, </em><em>Bachelor Honours Thesis, </em>(<em>October 2006</em>)Mon Dec 12 19:01:51 CET 2011Nathan Campus, Brisbane, AustraliaOctober{Ontology Merging using Answer Set Programming and WordNet}Bachelor Honours Thesis2006ASP wordnet http://www.bibsonomy.org/bibtex/2968041ecd49f47d4f5461ecab54fbadb/gergiegergie2011-12-12T19:01:47+01:00ASP wordnet <span class="authorEditorList"><a href="/author/Bock">Jürgen Bock</a>, <a href="/author/Topor">Rodney Topor</a>, and <a href="/author/Volz">Raphael Volz</a> </span><em>Poster+Demo Proceedings of the 6nd International Semantic Web Conference ISWC and the 2nd Asian Semantic Web Conference ASWC, </em><em>page 13--14. </em><em>Busan, Korea, </em>(<em>November 2007</em>)Mon Dec 12 19:01:47 CET 2011Busan, KoreaPoster+Demo Proceedings of the 6nd International Semantic Web Conference (ISWC) and the 2nd Asian Semantic Web Conference (ASWC)November13--14{Ontology Merging using Answer Set Programming and Linguistic Knowledge (Poster)}2007ASP wordnet http://www.bibsonomy.org/bibtex/2701ee574d332a5896b2b9b0754ed88dd/gergiegergie2011-12-12T19:01:47+01:00ASP wordnet <span class="authorEditorList"><a href="/author/Bock">Jürgen Bock</a>, <a href="/author/Topor">Rodney Topor</a>, and <a href="/author/Volz">Raphael Volz</a> </span><em>Proceedings of the 2nd International Workshop on Ontology Matching, </em><em> 304, </em><em>page 301--305. </em><em>http://ceur-ws.org, </em><em>CEUR Workshop Proceedings, </em>(<em>November 2007</em>)Mon Dec 12 19:01:47 CET 2011\url{http://ceur-ws.org}Proceedings of the 2nd International Workshop on Ontology MatchingNovember301--305{Ontology Merging using Answer Set Programming and Linguistic Knowledge}3042007ASP wordnet http://www.bibsonomy.org/bibtex/2dc317c7d3f1a7f989e6c4e9cb42e2f48/utahellutahell2011-09-28T14:29:11+02:00wordnet <span class="authorEditorList"><a href="/author/Fellbaum">Christiane Fellbaum</a> </span><em>Encyclopedia of Language and Linguistics, </em><em>page 665--670. </em><em>Oxford, </em><em>Elsevier, </em>(<em>2005</em>)Wed Sep 28 14:29:11 CEST 2011OxfordEncyclopedia of Language and LinguisticsSecond Edition665--670WordNet and wordnets2005wordnet About WordNet - WordNet - About WordNethttp://www.bibsonomy.org/bibtex/21ff50d4abc0aa60368da0aab12713d22/jiljil2011-09-16T16:36:41+02:00information insuccessful ir retrieval sense wordnet wsd <span class="authorEditorList"><a href="/author/Voorhees">Ellen M. Voorhees</a> </span><em>Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, </em><em>page 171--180. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>1993</em>)Fri Sep 16 16:36:41 CEST 2011New York, NY, USAProceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval171--180SIGIR '93Using WordNet to disambiguate word senses for text retrieval1993information insuccessful ir retrieval sense wordnet wsd This paper describes an automatic indexing procedure that uses the “IS-A” relations contained within WordNet and the set of nouns contained in a text to select a sense for each plysemous noun in the text. The result of the indexing procedure is a vector in which some of the terms represent word senses instead of word stems. Retrieval experiments comparing the effectivenss of these sense-based vectors vs. stem-based vectors show the stem-based vectors to be superior overall, although the sense-based vectors do improve the performance of some queries. The overall degradation is due in large part to the difficulty of disambiguating senses in short query statements. An analysis of these results suggests two conclusions: the IS-A links define a generalization/specialization hierarchy that is not sufficient to reliably select the correct sense of a noun from the set of fine sense distinctions in WordNet; and missing correct matches because of incorrect sense resolution has a much more deleterious effect on retrieval performance than does making spurious matches.http://www.bibsonomy.org/bibtex/2baec93dc254a2e4ed338318e3bdf8fa4/jiljil2011-09-11T19:27:06+02:00brown corpus semcor sense tagged wordnet <span class="authorEditorList"><a href="/author/Miller">George A. Miller</a>, <a href="/author/Leacock">Claudia Leacock</a>, <a href="/author/Tengi">Randee Tengi</a>, and <a href="/author/Bunker">Ross T. Bunker</a> </span><em>Proceedings of the workshop on Human Language Technology, </em><em>page 303--308. </em><em>Stroudsburg, PA, USA, </em><em>Association for Computational Linguistics, </em>(<em>1993</em>)Sun Sep 11 19:27:06 CEST 2011Stroudsburg, PA, USAProceedings of the workshop on Human Language Technology303--308HLT '93A semantic concordance1993brown corpus semcor sense tagged wordnet http://www.bibsonomy.org/bibtex/28472b4f9d7f2bfc4a97ffd4a023facc6/jiljil2011-09-11T18:40:34+02:00wordnet <span class="authorEditorList"><a href="/author/Fellbaum">Christiane Fellbaum</a> (Eds.). </span><em>MIT Press, </em><em>Cambridge, MA, </em>(<em>1998</em>)Sun Sep 11 18:40:34 CEST 2011Cambridge, MA{WordNet}: An Electronic Lexical Database1998wordnet WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying lexicalized concept. Different relations link the synonym sets. The purpose of this volume is twofold. First, it discusses the design of WordNet and the theoretical motivations behind it. Second, it provides a survey of representative applications, including word sense identification, information retrieval, selectional preferences of verbs, and lexical chains.Entire set of citations (10/2009)http://www.bibsonomy.org/bibtex/2563138e890f4463f29c0324c95878129/dbenzdbenz2011-07-29T09:40:37+02:00wordnet semantic_relatedness <span class="authorEditorList"><a href="/author/Budanitsky">Alexander Budanitsky</a>, and <a href="/author/Hirst">Graeme Hirst</a> </span><em>Computational Linguists</em> <em>32(1):13--47</em> (<em>2006</em>)Fri Jul 29 09:40:37 CEST 2011Cambridge, MA, USAComputational Linguists113--47Evaluating WordNet-based Measures of Lexical Semantic Relatedness322006wordnet semantic_relatedness http://www.bibsonomy.org/bibtex/2d663c7ac627095984ebd0ecfb85d1e41/mortimer_m8mortimer_m82011-05-10T10:49:57+02:00algorithm disambiguation evauation induction semantic semanticweb sense wordnet <span class="authorEditorList"><a href="/author/Andrews">Pierre Andrews</a>, <a href="/author/Pane">Juan Pane</a>, and <a href="/author/Zaihrayeu">Ilya Zaihrayeu</a> </span><em>Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011, </em><em>International Joint Conference on Artificial Intelligence, </em>(<em>2011</em>)Tue May 10 10:49:57 CEST 2011Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011Sense Induction in Folksonomies2011algorithm disambiguation evauation induction semantic semanticweb sense wordnet Folksonomies, often known as tagging systems, such as the ones used on the popular Delicious or flickr websites, use a very simple knowledge organisation system. Users are thus quick to adopt this system and create extensive knowledge annotations on the Web. However, because of the simplicity of the folksonomy model, the semantics of the tags used is not explicit and can only be inferred from the context of use of the tags. This is a barrier for the automatic use of such knowledge organisation systems by computers and new techniques have to be developed to extract the semantic of the tags used. In this paper we discuss an algorithm to detect new senses of terms in a folksonomy; we also propose a formal evaluation methodology that will enable to compare results between different approaches in the field. This work has been partially supported by INSEMTIVES project (FP7-231181, see http://www.insemtives.eu).http://www.bibsonomy.org/bibtex/275183eed0a84f9c9e0b0a170a23ec54a/ansans2011-03-22T23:24:50+01:00master measures similarity wordnet <span class="authorEditorList"><a href="/author/Jiang">Jay J. Jiang</a>, and <a href="/author/Conrath">David W. Conrath</a> </span><em>CoRR</em> (<em>1997</em>)Tue Mar 22 23:24:50 CET 2011CoRRSemantic Similarity Based on Corpus Statistics and Lexical Taxonomycmp-lg/97090081997master measures similarity wordnet http://www.bibsonomy.org/bibtex/215d23f225fcd1a1cbc17d47b6ddce910/ansans2011-03-22T23:24:50+01:00master measures similarity wordnet <span class="authorEditorList"><a href="/author/Resnik">Philip Resnik</a> </span><em>Statically Based NLP Techniques, </em><em>page 48-56. </em>(<em>1992</em>)Tue Mar 22 23:24:50 CET 2011Statically Based NLP Techniques48-56WordNet and Distributional Analysis: A Class-based Approach to Lexical Discovery1992master measures similarity wordnet http://www.bibsonomy.org/bibtex/28472b4f9d7f2bfc4a97ffd4a023facc6/ansans2011-03-22T22:51:08+01:00master measures wordnet <span class="authorEditorList"><a href="/author/Fellbaum">Christiane Fellbaum</a> (Eds.). </span><em>MIT Press, </em><em>Cambridge, MA, </em>(<em>1998</em>)Tue Mar 22 22:51:08 CET 2011Cambridge, MA{WordNet}: An Electronic Lexical Database1998master measures wordnet WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying lexicalized concept. Different relations link the synonym sets. The purpose of this volume is twofold. First, it discusses the design of WordNet and the theoretical motivations behind it. Second, it provides a survey of representative applications, including word sense identification, information retrieval, selectional preferences of verbs, and lexical chains.Entire set of citations (10/2009)http://www.bibsonomy.org/bibtex/2007899669fcbb6656912eb882398feef/fellahstfellahst2011-03-09T04:47:24+01:00measuring semantic similarity taxonomy wordnet <span class="authorEditorList"><a href="/author/Yang">Dongqiang Yang</a>, and <a href="/author/Powers">David M. W. Powers</a> </span><em>ACSC, </em><em>volume 38 of CRPIT, </em><em>page 315-322. </em><em>Australian Computer Society, </em>(<em>2005</em>)Wed Mar 09 04:47:24 CET 2011ACSCconf/acsc/2005315-322CRPITMeasuring Semantic Similarity in the Taxonomy of WordNet.382005measuring semantic similarity taxonomy wordnet dblphttp://www.bibsonomy.org/bibtex/25f478cedb87374890154b6d4f4a6c5f9/butonicbutonic2011-02-22T18:17:25+01:00dis nt2od ontology semantics wikipedia wordnet yago <span class="authorEditorList"><a href="/author/Hoffart">Johannes Hoffart</a>, <a href="/author/Suchanek">Fabian M. Suchanek</a>, <a href="/author/Berberich">Klaus Berberich</a>, and <a href="/author/Weikum">Gerhard Weikum</a> </span><em>Research Report, </em><em>MPI-I-2010-5-007. </em><em>Max-Planck-Institut für Informatik, </em><em>Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany, </em>(<em>November 2010</em>)Tue Feb 22 18:17:25 CET 2011Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, GermanyNovemberMPI-I-2010-5-007{YAGO2}: a spatially and temporally enhanced knowledge base from {W}ikipediaResearch Report2010dis nt2od ontology semantics wikipedia wordnet yago http://www.bibsonomy.org/bibtex/2e91cce045a1d323c0012027f04771733/dbenzdbenz2011-02-21T09:11:21+01:00distributional relatedness semantic_similarity similarity wordnet <span class="authorEditorList"><a href="/author/Agirre">Eneko Agirre</a>, <a href="/author/Alfonseca">Enrique Alfonseca</a>, <a href="/author/Hall">Keith Hall</a>, <a href="/author/Kravalova">Jana Kravalova</a>, <a href="/author/Pasca">Marius Pasca</a>, and <a href="/author/Soroa">Aitor Soroa</a> </span><em>Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, </em><em>page 19--27. </em><em>Stroudsburg, PA, USA, </em><em>Association for Computational Linguistics, </em>(<em>2009</em>)Mon Feb 21 09:11:21 CET 2011Stroudsburg, PA, USAProceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics19--27NAACL '09A study on similarity and relatedness using distributional and WordNet-based approaches2009distributional relatedness semantic_similarity similarity wordnet This paper presents and compares WordNet-based and distributional similarity approaches. The strengths and weaknesses of each approach regarding similarity and relatedness tasks are discussed, and a combination is presented. Each of our methods independently provide the best results in their class on the RG and WordSim353 datasets, and a supervised combination of them yields the best published results on all datasets. Finally, we pioneer cross-lingual similarity, showing that our methods are easily adapted for a cross-lingual task with minor losses.A study on similarity and relatedness using distributional and WordNet-based approacheshttp://www.bibsonomy.org/bibtex/2bb38e5e4c1bbb1c147ce852f475fa3ba/gangemigangemi2011-02-21T03:33:52+01:00foundationalontology ontologyevaluation wordnet <span class="authorEditorList"><a href="/author/Gangemi">Aldo Gangemi</a>, <a href="/author/Guarino">Nicola Guarino</a>, and <a href="/author/Oltramari">Alessandro Oltramari</a> </span><em>FOIS, </em><em>page 285-296. </em>(<em>2001</em>)Mon Feb 21 03:33:52 CET 2011FOIS285-296Conceptual Analysis of Lexical Taxonomies: the case of WordNet Top-level2001foundationalontology ontologyevaluation wordnet http://www.bibsonomy.org/bibtex/26b46cf803fa53e94cf1c7424b50bb6d2/gangemigangemi2011-02-21T03:33:52+01:00automatedtranslation lexicon ontologylearning terminology wordnet <span class="authorEditorList"><a href="/author/Navigli">Roberto Navigli</a>, <a href="/author/Velardi">Paola Velardi</a>, and <a href="/author/Gangemi">Aldo Gangemi</a> </span><em>IEEE Intelligent Systems</em> <em>18(1):22-31</em> (<em>2003</em>)Mon Feb 21 03:33:52 CET 2011IEEE Intelligent Systems122-31Ontology Learning and Its Application to Automated Terminology Translation182003automatedtranslation lexicon ontologylearning terminology wordnet http://www.bibsonomy.org/bibtex/23851817554c4d770aa59c6f5a9744528/gangemigangemi2011-02-21T03:33:52+01:00dolce foundationalontology ontologyevaluation wordnet <span class="authorEditorList"><a href="/author/Gangemi">Aldo Gangemi</a>, <a href="/author/Guarino">Nicola Guarino</a>, <a href="/author/Masolo">Claudio Masolo</a>, and <a href="/author/Oltramari">Alessandro Oltramari</a> </span><em>AI Magazine</em> <em>24(3):13-24</em> (<em>2003</em>)Mon Feb 21 03:33:52 CET 2011AI Magazine313-24Sweetening WORDNET with DOLCE242003dolce foundationalontology ontologyevaluation wordnet