{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T17:15:07Z","timestamp":1689009307483},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2009,4]]},"abstract":"<jats:p> Kernels are widely used in Natural Language Processing as similarity measures within inner-product based learning methods like the Support Vector Machine. The Vector Space Model (VSM) is extensively used for the spatial representation of the documents. However, it is purely a statistical representation. In this paper, we present a Concept Vector Space Model (CVSM) representation which uses linguistic prior knowledge to capture the meanings of the documents. We also propose a linear kernel and a latent kernel for this space. The linear kernel takes advantage of the linguistic concepts whereas the latent kernel combines statistical and linguistic concepts. Indeed, the latter kernel uses latent concepts extracted by the Latent Semantic Analysis (LSA) in the CVSM. The kernels were evaluated on a text categorization task in the biomedical domain. The Ohsumed corpus, well known for being difficult to categorize, was used. The results have shown that the CVSM improves performance compared to the VSM. <\/jats:p>","DOI":"10.1142\/s0218213009000123","type":"journal-article","created":{"date-parts":[[2009,4,27]],"date-time":"2009-04-27T13:26:44Z","timestamp":1240838804000},"page":"239-272","source":"Crossref","is-referenced-by-count":2,"title":["A CONCEPT VECTOR SPACE MODEL FOR SEMANTIC KERNELS"],"prefix":"10.1142","volume":"18","author":[{"given":"SUJEEVAN","family":"ASEERVATHAM","sequence":"first","affiliation":[{"name":"LIPN \u2013 UMR 7030, CNRS \u2013 Universit\u00e9 Paris 13, 99, Av. J.B. Cl\u00e9ment, F-93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0907-3"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1145\/361219.361220"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013625426931"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1007\/1-4020-3467-9_5"},{"key":"rf8","volume":"28","author":"Sparck Jones K.","journal-title":"Journal of Documentation"},{"key":"rf9","first-page":"132","author":"Sparck Jones K.","journal-title":"Document retrieval systems"},{"key":"rf12","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1017\/S1351324900000139","volume":"1","author":"Church K. W.","journal-title":"Journal of Natural Language Engineering"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324996001246"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1024940629314"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"rf22","first-page":"163","volume":"30","author":"Basili R.","journal-title":"Informatica"},{"key":"rf24","unstructured":"H.\u00a0Drucker, Advances in Neural Information Processing Systems\u00a09, eds. M. C.\u00a0Mozer, M. I.\u00a0Jordan and T.\u00a0Petsche (The MIT Press, 1997)\u00a0p. 155."},{"key":"rf25","unstructured":"V. N.\u00a0Vapnik, S. E.\u00a0Golowich and A. J.\u00a0Smola, Advances in Neural Information Processing Systems\u00a09, eds. M. C.\u00a0Mozer, M. I.\u00a0Jordan and T.\u00a0Petsche (The MIT Press, 1996)\u00a0pp. 281\u2013287."},{"key":"rf26","first-page":"125","volume":"2","author":"Ben-Hur A.","journal-title":"Journal of Machine Learning Research"},{"key":"rf27","unstructured":"C.\u00a0Burges and D.\u00a0Crisp, Advances in Neural Information Processing Systems (The MIT Press, 1999)\u00a0pp. 223\u2013229."},{"key":"rf28","first-page":"273","volume":"20","author":"Cortes C.","journal-title":"Machine Learning"},{"key":"rf31","doi-asserted-by":"publisher","DOI":"10.1108\/eb046814"},{"key":"rf32","volume-title":"LIBSVM: a library for support vector machines","author":"Chang C.-C.","year":"2001"},{"key":"rf33","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213009000123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:29:39Z","timestamp":1565144979000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213009000123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,4]]},"references-count":21,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2009,4]]}},"alternative-id":["10.1142\/S0218213009000123"],"URL":"https:\/\/doi.org\/10.1142\/s0218213009000123","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,4]]}}}