{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T21:07:58Z","timestamp":1725570478949},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642171864"},{"type":"electronic","value":"9783642171871"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"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":[[2010]]},"DOI":"10.1007\/978-3-642-17187-1_21","type":"book-chapter","created":{"date-parts":[[2010,12,3]],"date-time":"2010-12-03T20:33:24Z","timestamp":1291408404000},"page":"221-230","source":"Crossref","is-referenced-by-count":2,"title":["An Integrated Deterministic and Nondeterministic Inference Algorithm for Sequential Labeling"],"prefix":"10.1007","author":[{"given":"Yu-Chieh","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue-Shi","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie-Chi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Show-Jane","family":"Yen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"21_CR1","unstructured":"Charniak, E.: A maximum-entropy-inspired parser. In: 6th Applied Natural Language, Processing Conference, pp. 132\u2013139 (2001)"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Collins, M.: Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms. In: Empirical Methods in Natural Language Processing, pp. 1\u20138 (2002)","DOI":"10.3115\/1118693.1118694"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Daum\u00e9, H., Marcu, D.: Learning as search optimization: approximate large margin methods for structured prediction. In: 12th International Conference on Machine Learning, pp. 169\u2013176 (2005)","DOI":"10.1145\/1102351.1102373"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Hsieh, C.J., Chang, K.W., Lin, C.J., Keerthi, S., Sundararajan, S.: A dual coordinate descent method for large-scale linear SVM. In: 15th International Conference on Machine Learning, pp. 408\u2013415 (2008)","DOI":"10.1145\/1390156.1390208"},{"key":"21_CR5","unstructured":"Gim\u00e9nez, J., M\u00e1rquez, L.: SVMTool: A general POS tagger generator based on support vector machines. In: 4th International Conference on Language Resources and Evaluation, pp. 43\u201346 (2004)"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Kazama, J., Tsujii, J.: Evaluation and extension of maximum entropy models with inequality constraints. In: Empirical methods in natural language processing, pp. 137\u2013144 (2003)","DOI":"10.3115\/1119355.1119373"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Kudo, T., Matsumoto, Y.: Chunking with support vector machines. In: North American Chapter of the Association for Computational Linguistics on Language Technologies, pp. 192\u2013199 (2001)","DOI":"10.3115\/1073336.1073361"},{"key":"21_CR8","unstructured":"Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: 8th International Conference on Machine Learning, pp. 282\u2013289 (2001)"},{"key":"21_CR9","unstructured":"McCallum, A., Freitag, D., Pereira, F.: Maximum entropy Markov models for information extraction and segmentation. In: 7th International Conference on Machine Learning, pp. 591\u2013598 (2000)"},{"key":"21_CR10","unstructured":"Ng, H.T., Low, J.K.: Chinese part-of-speech tagging. one-at-a-time or all-at-once? word-based or character-based? In: Empirical methods in natural language processing, pp. 277\u2013284 (2004)"},{"key":"21_CR11","unstructured":"Platt, J.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Advances in Large Margin Classifiers (1999)"},{"key":"21_CR12","unstructured":"Ratnaparkhi, A.: A Maximum Entropy Model for Part-Of-Speech Tagging. In: Empirical Methods in Natural Language Processing, pp. 133\u2013142 (1996)"},{"key":"21_CR13","unstructured":"Suzuki, J., Fujino, A., Isozaki, H.: Semi-supervised structural output learning based on a hybrid generative and discriminative approach. In: Empirical Methods in Natural Language Processing, pp. 791\u2013800 (2007)"},{"key":"21_CR14","unstructured":"Suzuki, J., Isozaki, H.: Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data. In: 46th Annual Meeting of the Association of Computational Linguistics, pp. 665\u2013673 (2008)"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Takeuchi, K., Collier, N.: Use of support vector machines in extended named entity recognition. In 6th Conference on Computational Natural Language Learning, pp. 119-125 (2002)","DOI":"10.3115\/1118853.1118882"},{"key":"21_CR16","unstructured":"Taskar, B., Guestrin, C., Koller, D.: Max-margin Markov networks. In: \u00a0Advances in Neural Information Processing Systems (NIPS), pp. 25\u201332 (2003)"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Tjong Kim Sang, E.F., Buchholz, S.: Introduction to the CoNLL-2000 shared task: chunking. In: 4th Conference on Computational Natural Language Learning, pp. 127\u2013132 (2000)","DOI":"10.3115\/1117601.1117631"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Yang, Y., Liu, X.: A re-examination of text categorization methods. In: 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 42\u201349 (1999)","DOI":"10.1145\/312624.312647"},{"issue":"9","key":"21_CR19","doi-asserted-by":"publisher","first-page":"2874","DOI":"10.1016\/j.patcog.2008.02.010","volume":"41","author":"Y.C. Wu","year":"2008","unstructured":"Wu, Y.C., Lee, Y.S., Yang, J.C.: Robust and efficient multiclass SVM models for phrase pattern recognition, Pattern Recognition, vol. Pattern Recognition\u00a041(9), 2874\u20132889 (2008)","journal-title":"Pattern Recognition"},{"key":"21_CR20","unstructured":"Zhang, Y., Clark, S.: Chinese segmentation with a word-based perceptron algorithm. In: 45th Annual Meeting of the Association of Computational Linguistics, pp. 840\u2013847 (2007)"},{"key":"21_CR21","unstructured":"Zhao, H., Kit, C.: Incorporating global information into supervised learning for Chinese word segmentation. In: 10th Conference of the Pacific Association for Computational Linguistics, pp. 66\u201374 (2007)"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17187-1_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T16:52:11Z","timestamp":1553273531000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17187-1_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642171864","9783642171871"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17187-1_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}