{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T04:11:24Z","timestamp":1749615084394,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540440376"},{"type":"electronic","value":"9783540456810"}],"license":[{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-45681-3_41","type":"book-chapter","created":{"date-parts":[[2007,10,19]],"date-time":"2007-10-19T11:03:25Z","timestamp":1192791805000},"page":"489-493","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Reasoning with Classifiers*"],"prefix":"10.1007","author":[{"given":"Dan","family":"Roth","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,9,18]]},"reference":[{"key":"41_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1162\/153244301753344614","volume":"1","author":"D. Heckerman","year":"2000","unstructured":"D. Heckerman, D. M. Chickering, C. Meek, R. Rounthwaite, and C. M. Kadie. Dependency networks for inference, collaborative filtering, and data visualization. Journal of Machine Learning Research, 1:49\u201375, 2000.","journal-title":"Journal of Machine Learning Research"},{"issue":"5","key":"41_CR2","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1145\/265910.265918","volume":"44","author":"R. Khardon","year":"1997","unstructured":"R. Khardon and D. Roth. Learning to reason. Journal of the ACM,44(5):697\u2013725, Sept. 1997.","journal-title":"Journal of the ACM"},{"key":"41_CR3","unstructured":"J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th International Conference on Machine Learning, Williamstown, MA, 2001."},{"key":"41_CR4","unstructured":"J. McCarthy. Programs with common sense. In R. Brachman and H. Levesque, editors, Readings in Knowledge Representation, 1985. Morgan-Kaufmann, 1958."},{"key":"41_CR5","unstructured":"M. Munoz, V. Punyakanok, D. Roth, and D. Zimak. A learning approach to shallow parsing. In EMNLP-VLC\u201999, the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 168\u2013178, June 1999."},{"key":"41_CR6","unstructured":"K. P. Murphy, Y. Weiss, and M. I. Jordan. Loopy belief propagation for approximate inference: An empirical study. In Proceedings of Uncertainty in AI, pages 467\u2013475, 1999."},{"key":"41_CR7","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/0004-3702(91)90049-P","volume":"47","author":"N. J. Nilsson","year":"1991","unstructured":"N. J. Nilsson. Logic and artificial intelligence. Artificial Intelligence, 47:31\u201356, 1991.","journal-title":"Artificial Intelligence"},{"key":"41_CR8","unstructured":"V. Punyakanok and D. Roth. The use of classi.ers in sequential inference. In NIPS-13; The 2000 Conference on Advances in Neural Information Processing Systems, pages 995\u20131001. MIT Press, 2001."},{"key":"41_CR9","unstructured":"D. Roth. Learning to reason: The non-monotonic case. In Proc. of the International Joint Conference on Artificial Intelligence, pages 1178\u20131184, 1995."},{"key":"41_CR10","unstructured":"D. Roth. Learning to resolve natural language ambiguities: A unified approach. In Proc. of the American Association of Artificial Intelligence, pages 806\u2013813, 1998."},{"key":"41_CR11","doi-asserted-by":"crossref","unstructured":"D. Roth and W.-T. Yih. Probabilistic reasoning for entity and relation recognition. In COLING 2002, The 19th International Conference on Computational Linguistics, 2002.","DOI":"10.3115\/1072228.1072379"},{"key":"41_CR12","doi-asserted-by":"crossref","unstructured":"L. G. Valiant. Robust logic. In Proceedings of the Annual ACM Symp. on the Theory of Computing, 1999.","DOI":"10.1145\/301250.301425"}],"container-title":["Lecture Notes in Computer Science","Principles of Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45681-3_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T16:36:06Z","timestamp":1749573366000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/3-540-45681-3_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440376","9783540456810"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/3-540-45681-3_41","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]},"assertion":[{"value":"18 September 2002","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}