Large-Scale Semi-Supervised Learning for Natural Language ...

[Bergsma and Cherry, 2010] Shane Bergsma and Colin Cherry. Fast and accurate arc filteringfor dependency parsing. In COLING, 2010.[Bergsma and Kondrak, 2007a] Shane Bergsma and Grzegorz Kondrak. Alignment-baseddiscriminative string similarity. In ACL, 2007.[Bergsma and Kondrak, 2007b] Shane Bergsma and Grzegorz Kondrak. Multilingual cognateidentification using integer linear programming. In RANLP Workshop on Acquisitionand Management of Multilingual Lexicons, 2007.[Bergsma and Lin, 2006] Shane Bergsma and Dekang Lin. Bootstrapping path-based pronounresolution. In COLING-ACL, 2006.[Bergsma and Wang, 2007] Shane Bergsma and Qin Iris Wang.query segmentation. In EMNLP-CoNLL, 2007.Learning noun phrase[Bergsma et al., 2008a] Shane Bergsma, Dekang Lin, and Randy Goebel. Discriminativelearning of selectional preference from unlabeled text. In EMNLP, 2008.[Bergsma et al., 2008b] Shane Bergsma, Dekang Lin, and Randy Goebel. Distributionalidentification of non-referential pronouns. In ACL-08: HLT, 2008.[Bergsma et al., 2009a] Shane Bergsma, Dekang Lin, and Randy Goebel. Glen, Glendaor Glendale: Unsupervised and semi-supervised learning of English noun gender. InCoNLL, 2009.[Bergsma et al., 2009b] Shane Bergsma, Dekang Lin, and Randy Goebel. Web-scale N-gram models for lexical disambiguation. In IJCAI, 2009.[Bergsma et al., 2010a] Shane Bergsma, Aditya Bhargava, Hua He, and Grzegorz Kondrak.Predicting the semantic compositionality of prefix verbs. In EMNLP, 2010.[Bergsma et al., 2010b] Shane Bergsma, Dekang Lin, and Dale Schuurmans. Improvednatural language learning via variance-regularization support vector machines. InCoNLL, 2010.[Bergsma et al., 2010c] Shane Bergsma, Emily Pitler, and Dekang Lin. Creating robustsupervised classifiers via web-scale n-gram data. In ACL, 2010.[Bergsma, 2005] Shane Bergsma. Automatic acquisition of gender information foranaphora resolution. In Proceedings of the 18th Conference of the Canadian Societyfor Computational Studies of Intelligence (Canadian AI’2005), 2005.[Bikel, 2004] Daniel M. Bikel. Intricacies of Collins’ parsing model. Computational Linguistics,30(4), 2004.[Bilenko and Mooney, 2003] Mikhail Bilenko and Raymond J. Mooney. Adaptive duplicatedetection using learnable string similarity measures. In KDD, 2003.[Blitzer et al., 2005] John Blitzer, Amir Globerson, and Fernando Pereira. Distributed latentvariable models of lexical co-occurrences. In AISTATS, 2005.[Blitzer et al., 2007] John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, bollywood,boom-boxes and blenders: Domain adaptation for sentiment classification. InACL, 2007.[Bloodgood and Callison-Burch, 2010] Michael Bloodgood and Chris Callison-Burch.Bucking the trend: Large-scale cost-focused active learning for statistical machine translation.In ACL, 2010.[Blum and Mitchell, 1998] Avrim Blum and Tom Mitchell. Combining labeled and unlabeleddata with co-training. In COLT, 1998.114