{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T19:50:56Z","timestamp":1716493856423},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,9,25]],"date-time":"2007-09-25T00:00:00Z","timestamp":1190678400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2007,10,3]]},"DOI":"10.1007\/s10994-007-5023-9","type":"journal-article","created":{"date-parts":[[2007,9,24]],"date-time":"2007-09-24T13:42:11Z","timestamp":1190641331000},"page":"55-74","source":"Crossref","is-referenced-by-count":2,"title":["Extending boosting for large scale spoken language understanding"],"prefix":"10.1007","volume":"69","author":[{"given":"Gokhan","family":"Tur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2007,9,25]]},"reference":[{"key":"5023_CR1","doi-asserted-by":"crossref","unstructured":"Alshawi, H. (2003). Effective utterance classification with unsupervised phonotactic models. In Proceedings of the human language technology conference (HLT)-conference of the North American chapter of the association for computational linguistics (NAACL), Edmonton, Canada.","DOI":"10.3115\/1073445.1073446"},{"key":"5023_CR2","doi-asserted-by":"crossref","unstructured":"Bacchiani, M., Roark, B., & Saraclar, M. (2004). Language model adaptation with MAP estimation and the perceptron algorithm. In Proceedings of the human language technology conference (HLT)-conference of the North American chapter of the association for computational linguistics (NAACL), Boston, MA.","DOI":"10.3115\/1613984.1613990"},{"key":"5023_CR3","doi-asserted-by":"crossref","unstructured":"Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. In Proceedings of the workshop on computational learning theory (COLT), Madison, WI.","DOI":"10.1145\/279943.279962"},{"issue":"1","key":"5023_CR4","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R. Caruana","year":"1997","unstructured":"Caruana, R. (1997). Multitask learning. Machine Learning, 28(1), 41\u201375.","journal-title":"Machine Learning"},{"issue":"3","key":"5023_CR5","first-page":"361","volume":"25","author":"J. Chu-Carroll","year":"1999","unstructured":"Chu-Carroll, J., & Carpenter, B. (1999). Vector-based natural language call routing. Computational Linguistics, 25(3), 361\u2013388.","journal-title":"Computational Linguistics"},{"key":"5023_CR6","doi-asserted-by":"crossref","unstructured":"Collins, M., Schapire, R. E., & Singer, Y. (2002). Logistic regression, AdaBoost and Bregman distances. Machine Learning, 48(1\/2\/3).","DOI":"10.1023\/A:1013912006537"},{"key":"5023_CR7","doi-asserted-by":"crossref","unstructured":"Di Fabbrizio, G., Dutton, D., Gupta, N., Hollister, B., Rahim, M., Riccardi, G., Schapire, R., & Schroeter, J. (2002). AT&T help desk. In Proceedings of the international conference on spoken language processing (ICSLP), Denver, CO.","DOI":"10.21437\/ICSLP.2002-669"},{"key":"5023_CR8","doi-asserted-by":"crossref","unstructured":"Digalakis, V., Rtischev, D., & Neumeyer, L. G. (1995). Speaker adaptation using constrained estimation of Gaussian mixtures. IEEE Transactions on Speech and Audio Processing, 3(5).","DOI":"10.1109\/89.466659"},{"key":"5023_CR9","doi-asserted-by":"crossref","unstructured":"Domingos, P. (1999). MetaCost: a general method for making classifiers cost sensitive. In: Proceedings of the international conference on knowledge discovery and data mining (KDD), San Diego, CA.","DOI":"10.1145\/312129.312220"},{"key":"5023_CR10","unstructured":"Drummond, C., & Holte, R. C. (2000). Exploiting the cost in sensitivity of decision tree splitting criteria. In Proceedings of the international conference on machine learning (ICML), Palo Alto, CA."},{"key":"5023_CR11","volume-title":"Pattern classification and scene analysis","author":"R. O. Duda","year":"1973","unstructured":"Duda, R. O., & Hart, P. E. (1973). Pattern classification and scene analysis. New York: Wiley."},{"key":"5023_CR12","unstructured":"Fan, W., Stolfo, S. J., Zhang, J., & Chan, P. K. (1999). AdaCost: misclassification cost-sensitive boosting. In Proceedings of the international conference on machine learning (ICML), Bled, Slovenia."},{"issue":"1","key":"5023_CR13","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y. Freund","year":"1997","unstructured":"Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119\u2013139.","journal-title":"Journal of Computer and System Sciences"},{"issue":"2","key":"5023_CR14","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1214\/aos\/1016218223","volume":"38","author":"J. Friedman","year":"2000","unstructured":"Friedman, J., Hastie, T., & Tibshirani, R. (2000). Additive logistic regression: a statistical view of boosting. The Annals of Statistics, 38(2), 337\u2013374.","journal-title":"The Annals of Statistics"},{"key":"5023_CR15","unstructured":"Ghani, R. (2002). Combining labeled and unlabeled data for multiclass text categorization. In Proceedings of the international conference on machine learning (ICML), Sydney, Australia."},{"key":"5023_CR16","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S0167-6393(97)00040-X","volume":"23","author":"A. L. Gorin","year":"1997","unstructured":"Gorin, A. L., Riccardi, G., & Wright, J. H. (1997). How may I help You? Speech Communication, 23, 113\u2013127.","journal-title":"Speech Communication"},{"issue":"1","key":"5023_CR17","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1109\/TSA.2005.854085","volume":"14","author":"N. Gupta","year":"2006","unstructured":"Gupta, N., Tur, G., Hakkani-T\u00fcr, D., Bangalore, S., Riccardi, G., & Rahim, M. (2006). The AT&T spoken language understanding system. IEEE Transactions on Speech and Audio Processing, 14(1), 213\u2013222.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"5023_CR18","unstructured":"He, Y., & Young, S. (2004). Robustness issues in a data-driven spoken language understanding system. In Proceedings of the HLT\/NAACL workshop on spoken language understanding, Boston, MA."},{"key":"5023_CR19","unstructured":"Iyer, R., Gish, H., & McCarthy, D. (2002). Unsupervised training techniques for natural language call routing. In: Proceedings of the international conference on acoustics, speech and signal processing (ICASSP), Orlando, FL."},{"key":"5023_CR20","doi-asserted-by":"crossref","unstructured":"Margineantu, D. (2002). Class probability estimation and cost-sensitive classification decisions. In Proceedings of the European conference on machine learning (ICML), Helsinki, Finland.","DOI":"10.1007\/3-540-36755-1_23"},{"key":"5023_CR21","doi-asserted-by":"crossref","unstructured":"Natarajan, P., Prasad, R., Suhm, B., & McCarthy, D. (2002). Speech enabled natural language call routing: BBN call director. In Proceedings of the international conference on spoken language processing (ICSLP), Denver, CO.","DOI":"10.21437\/ICSLP.2002-380"},{"key":"5023_CR22","doi-asserted-by":"crossref","unstructured":"Nigam, K., & Ghani, R. (2000). Analyzing the effectiveness and applicability of co-training. In Proceedings of the international conference on information and knowledge management (CIKM), McLean, VA.","DOI":"10.1145\/354756.354805"},{"issue":"2\/3","key":"5023_CR23","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/A:1007692713085","volume":"39","author":"K. Nigam","year":"2000","unstructured":"Nigam, K., McCallum, A., Thrun, S., & Mitchell, T. (2000). Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2\/3), 103\u2013134.","journal-title":"Machine Learning"},{"key":"5023_CR24","unstructured":"Prodromidis, A. L., & Stolfo, S. (1998). Mining databases with different schemas: integrating incompatible classifiers. In Proceedings of the international conference on knowledge discovery and data mining (KDD), New York, NY."},{"issue":"1","key":"5023_CR25","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/89.817449","volume":"8","author":"G. Riccardi","year":"2000","unstructured":"Riccardi, G., & Gorin, A. L. (2000). Stochastic language adaptation over time and state in a natural spoken dialog system. IEEE Transactions on Speech and Audio Processing, 8(1), 3\u20139.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"5023_CR26","doi-asserted-by":"crossref","unstructured":"Roark, B., & Bacchiani, M. (2003). Supervised and unsupervised PCFG adaptation to novel domains. In Proceedings of the human language technology conference (HLT)-conference of the North American chapter of the association for computational linguistics (NAACL), Edmonton, Canada.","DOI":"10.3115\/1073445.1073472"},{"key":"5023_CR27","unstructured":"Schapire, R. E. (2001). The boosting approach to machine learning: an overview. In Proceedings of the MSRI workshop on nonlinear estimation and classification, Berkeley, CA."},{"issue":"3","key":"5023_CR28","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1023\/A:1007614523901","volume":"37","author":"R. E. Schapire","year":"1999","unstructured":"Schapire, R. E., & Singer, Y. (1999). Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3), 297\u2013336.","journal-title":"Machine Learning"},{"issue":"2\/3","key":"5023_CR29","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"R. E. Schapire","year":"2000","unstructured":"Schapire, R. E., & Singer, Y. (2000). Boostexter: a boosting-based system for text categorization. Machine Learning, 39(2\/3), 135\u2013168.","journal-title":"Machine Learning"},{"key":"5023_CR30","doi-asserted-by":"crossref","unstructured":"Schapire, R. E., Rochery, M., Rahim, M., & Gupta, N. (2005). Boosting with prior knowledge for call classification. IEEE Transactions on Speech and Audio Processing, 13(2).","DOI":"10.1109\/TSA.2004.840937"},{"key":"5023_CR31","doi-asserted-by":"crossref","unstructured":"Tur, G. (2004). Cost-sensitive call classification. In Proceedings of the international conference on spoken language processing (ICSLP), Jeju-Island, Korea.","DOI":"10.21437\/Interspeech.2004-41"},{"key":"5023_CR32","doi-asserted-by":"crossref","unstructured":"Tur, G. (2005). Model adaptation for spoken language understanding. In Proceedings of the international conference on acoustics, speech and signal processing (ICASSP), Philadelphia, PA.","DOI":"10.1109\/ICASSP.2005.1415045"},{"key":"5023_CR33","doi-asserted-by":"crossref","unstructured":"Tur, G., & Hakkani-T\u00fcr, D. (2003). Exploiting unlabeled utterances for spoken language understanding. In Proceedings of the European conference on speech communication and technology (EUROSPEECH), Geneva, Switzerland.","DOI":"10.21437\/Eurospeech.2003-744"},{"key":"5023_CR34","doi-asserted-by":"crossref","unstructured":"Zadrozny, B., & Elkan, C. (2001). Learning and making decisions when costs and probabilities are both unknown. In Proceedings of the international conference on knowledge discovery and data mining (KDD), San Francisco, CA.","DOI":"10.1145\/502512.502540"},{"key":"5023_CR35","doi-asserted-by":"crossref","unstructured":"Zadrozny, B., Langford, J., & Abe, N. (2003). Cost-sensitive learning by cost-proportionate example weighting. In Proceedings of the IEEE international conference on data mining, Melbourne, FL.","DOI":"10.1109\/ICDM.2003.1250950"},{"key":"5023_CR36","doi-asserted-by":"crossref","unstructured":"Zitouni, I., Kuo, H.-K. J., & Lee, C.-H. (2001). Natural language call routing: towards combination and boosting of classifiers. In Proceedings of the IEEE automatic speech recognition and understanding (ASRU) workshop, Trento, Italy.","DOI":"10.1109\/ASRU.2001.1034622"}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-007-5023-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-007-5023-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-007-5023-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,14]],"date-time":"2023-05-14T06:45:42Z","timestamp":1684046742000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-007-5023-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,9,25]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2007,10,3]]}},"alternative-id":["5023"],"URL":"https:\/\/doi.org\/10.1007\/s10994-007-5023-9","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,9,25]]}}}