{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T14:28:09Z","timestamp":1725632889787},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642249570"},{"type":"electronic","value":"9783642249587"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-24958-7_49","type":"book-chapter","created":{"date-parts":[[2011,11,10]],"date-time":"2011-11-10T18:55:12Z","timestamp":1320951312000},"page":"416-424","source":"Crossref","is-referenced-by-count":1,"title":["News Thread Extraction Based on Topical N-Gram Model with a Background Distribution"],"prefix":"10.1007","author":[{"given":"Zehua","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"49_CR1","first-page":"993","volume":"3","author":"D.M. Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I., Lafferty, J.: Latent dirichlet allocation. Journal of Machine Learning Research\u00a03, 993\u20131022 (2003)","journal-title":"Journal of Machine Learning Research"},{"key":"49_CR2","doi-asserted-by":"crossref","unstructured":"Nallapati, R., Feng, A., Peng, F., Allan, J.: Event threading within news topics. In: Proceedings of the Thirteenth ACM International Conference on Information and knowledge Management, pp. 446\u2013453. ACM (2004)","DOI":"10.1145\/1031171.1031258"},{"key":"49_CR3","doi-asserted-by":"crossref","unstructured":"Chemudugunta, C., Smyth, P., Steyvers, M.: Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. In: Advances in Neural Information Processing Systems, pp. 241\u2013242 (2006)","DOI":"10.7551\/mitpress\/7503.003.0035"},{"key":"49_CR4","unstructured":"Li, P., Jiang, J., Wang, Y.: Generating templates of entity summaries with an entity-aspect model and pattern mining. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 640\u2013649. Association for Computational Linguistics (2010)"},{"key":"49_CR5","doi-asserted-by":"crossref","unstructured":"Wallach, H.M.: Topic modeling: beyond bag-of-words. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 977\u2013984. ACM (2006)","DOI":"10.1145\/1143844.1143967"},{"issue":"03","key":"49_CR6","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1017\/S1351324900000218","volume":"1","author":"D.J.C. MacKay","year":"1995","unstructured":"MacKay, D.J.C., Peto, L.C.B.: A hierarchical dirichlet language model. Natural language engineering\u00a01(03), 289\u2013308 (1995)","journal-title":"Natural language engineering"},{"issue":"2","key":"49_CR7","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1037\/0033-295X.114.2.211","volume":"114","author":"T.L. Griffiths","year":"2007","unstructured":"Griffiths, T.L., Steyvers, M., Tenenbaum, J.B.: Topics in semantic representation. Psychological Review\u00a0114(2), 211 (2007)","journal-title":"Psychological Review"},{"key":"49_CR8","doi-asserted-by":"crossref","unstructured":"Wang, X., McCallum, A., Wei, X.: Topical n-grams: Phrase and topic discovery, with an application to information retrieval. In: Seventh IEEE International Conference on Data Mining ICDM 2007, pp. 697\u2013702. IEEE (2007)","DOI":"10.1109\/ICDM.2007.86"},{"issue":"2","key":"49_CR9","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1023\/A:1007665907178","volume":"37","author":"M.I. Jordan","year":"1999","unstructured":"Jordan, M.I., Ghahramani, Z., Jaakkola, T.S., Saul, L.K.: An introduction to variational methods for graphical models. Machine learning\u00a037(2), 183\u2013233 (1999)","journal-title":"Machine learning"},{"issue":"1","key":"49_CR10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1020281327116","volume":"50","author":"C. Andrieu","year":"2003","unstructured":"Andrieu, C., De Freitas, N., Doucet, A., Jordan, M.I.: An introduction to mcmc for machine learning. Machine learning\u00a050(1), 5\u201343 (2003)","journal-title":"Machine learning"},{"key":"49_CR11","unstructured":"Minka, T., Lafferty, J.: Expectation-propagation for the generative aspect model. In: Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence, pp. 352\u2013359. Citeseer (2002)"},{"issue":"suppl. 1","key":"49_CR12","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"T.L. Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Sciences of the United States of America\u00a0101(suppl. 1), 5228 (2004)","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24958-7_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T16:27:48Z","timestamp":1713112068000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24958-7_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642249570","9783642249587"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24958-7_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}