{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:47:20Z","timestamp":1742978840698,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319466743"},{"type":"electronic","value":"9783319466750"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46675-0_48","type":"book-chapter","created":{"date-parts":[[2016,9,28]],"date-time":"2016-09-28T09:55:47Z","timestamp":1475056547000},"page":"442-449","source":"Crossref","is-referenced-by-count":0,"title":["Learning Class-Informed Semantic Similarity"],"prefix":"10.1007","author":[{"given":"Tinghua","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,29]]},"reference":[{"key":"48_CR1","series-title":"Lecture Notes in Computer Science","volume-title":"Machine Learning: ECML-98","author":"T Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398. Springer, Heidelberg (1998)"},{"key":"48_CR2","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel methods for pattern analysis","author":"J Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel methods for pattern analysis. Cambridge University Press, New York (2004)"},{"key":"48_CR3","doi-asserted-by":"crossref","unstructured":"Bloehdorn, S., Basili, R., Cammisa, M., Moschitti, A.: Semantic kernels for text categorization based on topological measures of feature similarity. In: Proceedings of the 6th IEEE International Conference on Data Mining, Hong Kong, China, pp. 808\u2013812 (2006)","DOI":"10.1109\/ICDM.2006.141"},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Wang, P., Domeniconi, C.: Building semantic kernels for text categorization using Wikipedia. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, USA, pp. 713\u2013721 (2008)","DOI":"10.1145\/1401890.1401976"},{"issue":"2\u20133","key":"48_CR5","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1023\/A:1013625426931","volume":"18","author":"N Cristianini","year":"2002","unstructured":"Cristianini, N., Shawe-Taylor, J., Lodhi, H.: Latent semantic kernels. J. Intell. Inf. Syst. 18(2\u20133), 127\u2013152 (2002)","journal-title":"J. Intell. Inf. Syst."},{"key":"48_CR6","unstructured":"Kandola, J., Shawe-Taylor, J., Cristianini, N.: Learning semantic similarity. In: Advances in Neural Information Processing Systems, vol. 15, pp. 657\u2013664 (2003)"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Gliozzo, A.M., Strapparava, C.: Domain kernels for text categorization. In: Proceedings of the 9th Conference on Computational Natural Language Learning, Ann Arbor, USA, pp. 56\u201363 (2005)","DOI":"10.3115\/1706543.1706553"},{"key":"48_CR8","doi-asserted-by":"crossref","first-page":"807","DOI":"10.4028\/www.scientific.net\/AMM.519-520.807","volume":"519\u2013520","author":"J Chen","year":"2014","unstructured":"Chen, J., Zhong, J., Xie, Y., Cai, C.: Text categorization using SVM with exponential kernel. Appl. Mech. Mater. 519\u2013520, 807\u2013810 (2014)","journal-title":"Appl. Mech. Mater."},{"key":"48_CR9","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.engappai.2015.03.015","volume":"43","author":"B Alt\u0131nel","year":"2015","unstructured":"Alt\u0131nel, B., Caniz, M.C., Diri, B.: A corpus-based semantic kernel for text categorization by using meaning values of terms. Eng. Appl. Artif. Intell. 43, 54\u201366 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"48_CR10","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.engappai.2013.08.007","volume":"27","author":"T Wang","year":"2014","unstructured":"Wang, T., Rao, J., Hu, Q.: Supervised word sense disambiguation using semantic diffusion kernel. Eng. Appl. Artif. Intell. 27, 167\u2013174 (2014)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"48_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1007\/11735106_53","volume-title":"Advances in Information Retrieval","author":"S Chakraborti","year":"2006","unstructured":"Chakraborti, S., Lothian, R., Wiratunga, N., Watt, S.N.: Sprinkling: supervised latent semantic indexing. In: Lalmas, M., MacFarlane, A., R\u00fcger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 510\u2013514. Springer, Heidelberg (2006)"},{"key":"48_CR12","unstructured":"Chakraborti, S., Mukras, R., Lothian, R., Wiratunga, N., Watt, S., Harper, D.: Supervised latent semantic indexing using adaptive sprinkling. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 1582\u20131587 (2007)"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Hingmire, S., Chakraborti, S.: Sprinkling topics for weakly supervised text categorization. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, vol. 2, Short Paper, Baltimore, USA, pp. 55\u201360 (2014)","DOI":"10.3115\/v1\/P14-2010"},{"issue":"4","key":"48_CR14","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1142\/S0218213004001843","volume":"14","author":"LE Holzman","year":"2004","unstructured":"Holzman, L.E., Fisher, T.A., Galitsky, L.M., Kontostathis, A., Pottenger, W.M.: A software infrastructure for research in textual data mining. Int. J. Artif. Intell. Tools 14(4), 829\u2013849 (2004)","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"48_CR15","first-page":"1871","volume":"9","author":"RE Fan","year":"2008","unstructured":"Fan, R.E., Chang, K.W., Hsieh, C.J., Wang, X.R., Lin, C.J.: LIBLINEAR: a library for large linear classification. J. Mach. Learn. Res. 9, 1871\u20131874 (2008)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46675-0_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T22:39:03Z","timestamp":1568414343000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46675-0_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319466743","9783319466750"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46675-0_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}