{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:28:41Z","timestamp":1758274121465},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2008,7,1]],"date-time":"2008-07-01T00:00:00Z","timestamp":1214870400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Comput. Sci. Technol."],"published-print":{"date-parts":[[2008,7]]},"DOI":"10.1007\/s11390-008-9157-4","type":"journal-article","created":{"date-parts":[[2008,8,6]],"date-time":"2008-08-06T22:26:42Z","timestamp":1218061602000},"page":"612-619","source":"Crossref","is-referenced-by-count":3,"title":["Scaling Conditional Random Fields by One-Against-the-Other Decomposition"],"prefix":"10.1007","volume":"23","author":[{"given":"Hai","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Chunyu","family":"Kit","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,8,5]]},"reference":[{"key":"9157_CR1","unstructured":"Lafferty J D, McCallum A, Pereira F C N. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. the Eighteenth International Conference on Machine Learning, ICML\u201901, Williams College: Morgan Kaufmann Publishers Inc., USA, 2001, pp.282\u2013289."},{"key":"9157_CR2","doi-asserted-by":"crossref","unstructured":"Rosenfeld B, Feldman R, Fresko M. A systematic cross-comparison of sequence classifiers. In Proc. SDM 2006, Bethesda, Maryland, 2006, pp.563\u2013567.","DOI":"10.1137\/1.9781611972764.61"},{"key":"9157_CR3","doi-asserted-by":"crossref","unstructured":"Sha F, Pereira F. Shallow parsing with conditional random fields. In Proc. the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, Edmonton, Canada, Vol. 1, 2003, pp.134\u2013141.","DOI":"10.3115\/1073445.1073473"},{"key":"9157_CR4","unstructured":"Wallach H M. Efficient training of conditional random fields [Thesis]. Division of Informatics, University of Edinburgh, 2002."},{"issue":"2","key":"9157_CR5","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1109\/TIT.1967.1054010","volume":"13","author":"A J Viterbi","year":"1967","unstructured":"Viterbi A J. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory, 1967, 13(2): 260\u2013269.","journal-title":"IEEE Transactions on Information Theory"},{"key":"9157_CR6","first-page":"10","volume-title":"Proc. the 43rd Annual Meeting of the Association for Computational Linguistics (ACL\u201905)","author":"T Cohn","year":"2005","unstructured":"Cohn T, Smith A, Osborne M. Scaling conditional random fields using error-correcting codes. In Proc. the 43rd Annual Meeting of the Association for Computational Linguistics (ACL\u201905), Ann Arbor, Michigan: Association for Computational Linguistics, June 2005, pp.10\u201317."},{"issue":"2","key":"9157_CR7","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C W Hsu","year":"2002","unstructured":"Hsu C W, Lin C J. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 2002, 13(2): 415\u2013425.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"9157_CR8","doi-asserted-by":"crossref","unstructured":"Sutton C, McCallum A. Piecewise pseudolikelihood for efficient training of conditional random fields. In Proc. the 24th International Conference on Machine Learning, Corvalis, Oregon, ACM Press, June 20\u201324 2007, pp.863\u2013870.","DOI":"10.1145\/1273496.1273605"},{"key":"9157_CR9","doi-asserted-by":"crossref","unstructured":"Toutanova K, Klein D, Manning C, Singer Y. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proc. HLT-NAACL\u201903, Edmonton, Canada, May 27\u2013June 1, 2003, pp.252\u2013259.","DOI":"10.3115\/1073445.1073478"},{"key":"9157_CR10","unstructured":"V Punyakanok, D Roth, W tau Yih, D Zimak. Learning and inference over constrained output. In Proc. IJCAI 2005, Edinburgh, Scotland, July 30\u2013August 5, 2005, pp.1124\u20131129."},{"key":"9157_CR11","first-page":"1743","volume":"7","author":"P Abbeel","year":"2006","unstructured":"Abbeel P, Koller D, Ng A Y. Learning factor graphs in polynomial time and sample complexity. The Journal of Machine Learning Research, 2006, 7: 1743\u20131788.","journal-title":"The Journal of Machine Learning Research"},{"key":"9157_CR12","unstructured":"McCallum A, Sutton C. Piecewise training with parameter independence diagrams: Comparing globally- and locally-trained linear-chain CRFs. Tech. Rep. IR-383, Center for Intelligent Information Retrieval, University of Massachusetts, 2004, presented at NIPS 2004 Workshop on Learning with Structured Outputs."},{"issue":"1","key":"9157_CR13","first-page":"29","volume":"8","author":"N Xue","year":"2003","unstructured":"Xue N. Chinese word segmentation as character tagging. Computational Linguistics and Chinese Language Processing, 2003, 8(1): 29\u201348.","journal-title":"Computational Linguistics and Chinese Language Processing"},{"key":"9157_CR14","doi-asserted-by":"crossref","unstructured":"Peng F, Feng F, McCallum A. Chinese segmentation and new word detection using conditional random fields. In Proc. COLING 2004, Geneva, Switzerland, August 23\u201327, 2004, pp.562\u2013568.","DOI":"10.3115\/1220355.1220436"},{"key":"9157_CR15","unstructured":"Tseng H, Chang P, Andrew G, Jurafsky D, Manning C. A conditional random field word segmenter for SIGHAN bakeoff 2005. In Proc. the Fourth SIGHAN Workshop on Chinese Language Processing, Jeju Island, Korea, October 14\u201315, 2005, pp.168\u2013171."},{"key":"9157_CR16","unstructured":"Tsai R T H, Hung H C, Sung C L, Dai H J, Hsu W L. On closed task of Chinese word segmentation: An improved CRF model coupled with character clustering and automatically generated template matching. In Proc. the Fifth SIGHAN Workshop on Chinese Language Processing, Sydney, Australia, July 22\u201323, 2006, pp.108\u2013117."},{"key":"9157_CR17","unstructured":"Zhao H, Huang C N, Li M. An improved Chinese word segmentation system with conditional random field. In Proc. the Fifth SIGHAN Workshop on Chinese Language Processing, Sydney, Australia, July 22\u201323, 2006, pp.162\u2013165."},{"key":"9157_CR18","doi-asserted-by":"crossref","unstructured":"Zhang R, Kikui G, Sumita E. Subword-based tagging by conditional random fields for Chinese word segmentation. In Proc. Human Language Technology Conference\/North American Chapter of the Association for Computational Linguistics Annual Meeting (HLT\/NAACL - 2006), New York, 2006, pp.193\u2013196.","DOI":"10.3115\/1614049.1614098"},{"key":"9157_CR19","doi-asserted-by":"crossref","unstructured":"Zhou G D. A chunking strategy towards unknown word detection in Chinese word segmentation. In Proc. the 2nd International Joint Conference on Natural Language Processing (IJCNLP-2005), Dale R, Wong K F, Su J, Kwong O Y (eds.), Jeju Island, Korea, Lecture Notes in Computer Science, Vol. 3651. Springer, October 11\u201313, 2005, pp.530\u2013541.","DOI":"10.1007\/11562214_47"},{"key":"9157_CR20","unstructured":"Low J K, Ng H T, Guo W. A maximum entropy approach to Chinese word segmentation. In Proc. the Fourth SIGHAN Workshop on Chinese Language Processing, Jeju Island, Korea, October 14\u201315, 2005, pp.161\u2013164."},{"key":"9157_CR21","unstructured":"Zhao H, Huang C N, Li M, Lu B L. Effective tag set selection in Chinese word segmentation via conditional random field modeling. In Proc. the 20th Asian Pacific Conference on Language, Information and Computation, Wuhan, China, November 1\u20133, 2006, pp.87\u201394."},{"key":"9157_CR22","unstructured":"Emerson T. The second international Chinese word segmentation bakeoff. In Proc. the Fourth SIGHAN Workshop on Chinese Language Processing, Jeju Island, Korea, October 14\u201315, 2005, pp.123\u2013133."},{"key":"9157_CR23","unstructured":"Asahara M, Fukuoka K, Azuma A, Goh C L, Watanabe Y, Matsumoto Y, Tsuzuki T. Combination of machine learning methods for optimum Chinese word segmentation. In Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing, Jeju Island, Korea, October 14\u201315, 2005, pp.134\u2013137."},{"key":"9157_CR24","unstructured":"Chen A, Zhou Y, Zhang A, Sun G, Unigram language model for Chinese word segmentation. In Proc. the Fourth SIGHAN Workshop on Chinese Language Processing, Jeju Island, Korea, October 14\u201315, 2005, pp.138\u2013141."}],"container-title":["Journal of Computer Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-008-9157-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11390-008-9157-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-008-9157-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T14:32:40Z","timestamp":1559399560000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11390-008-9157-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7]]},"references-count":24,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2008,7]]}},"alternative-id":["9157"],"URL":"https:\/\/doi.org\/10.1007\/s11390-008-9157-4","relation":{},"ISSN":["1000-9000","1860-4749"],"issn-type":[{"value":"1000-9000","type":"print"},{"value":"1860-4749","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,7]]}}}