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Daumé H, Marcu D.  2006.  Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research. 26(1):101-126.
Daumé H, Brill E.  2004.  Web search intent induction via automatic query reformulation. Proceedings of HLT-NAACL 2004: Short Papers on XX. :49-52.
Daumé H, Marcu D.  2004.  Generic sentence fusion is an ill-defined summarization task. Proceedings of the Text Summarization Branches Out Workshop at ACL. 4:96-103.
Daumé H, Echihabi A, Marcu D, Munteanu D, Soricut R.  2002.  GLEANS: A generator of logical extracts and abstracts for nice summaries. Workshop on Automatic Summarization. :9-14.
Daumé H.  2009.  Unsupervised search-based structured prediction. Proceedings of the 26th Annual International Conference on Machine Learning. :209-216.
Daumé H.  2009.  Fast search for Dirichlet process mixture models. Arxiv preprint arXiv:0907.1812.
Daumé H, Knight K, Langkilde-Geary I, Marcu D, Yamada K.  2002.  The importance of lexicalized syntax models for natural language generation tasks. Proc. of INLG. :9-16.
Daumé H, Campbell L.  2007.  A Bayesian model for discovering typological implications. ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 45:65-65.
Daumé H.  2008.  Cross-task knowledge-constrained self training. Proceedings of the Conference on Empirical Methods in Natural Language Processing. :680-688.
Daumé H.  2009.  Semi-supervised or semi-unsupervised? Proceedings of the NAACL HLT Workshop on Semisupervised Learning for Natural Language Processing. :84-85.
Daumé H, Marcu D.  2004.  A tree-position kernel for document compression. Proceedings of the Fourth Document Understanding Conference (DUC 2004). :6-7.
Daumé H, Marcu D.  2005.  Induction of Word and Phrase Alignments for Automatic Document Summarization. Computational Linguistics. 31:505-530.
Daumé H, Marcu D.  2006.  Bayesian query-focused summarization. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics. :305-312.
Daumé H, Marcu D.  2005.  A large-scale exploration of effective global features for a joint entity detection and tracking model. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing. :97-104.
Daumé H, Marcu D.  2004.  A phrase-based hmm approach to document/abstract alignment. Proceedings of EMNLP. :119-126.
Daumé H, Marcu D.  2004.  Supervised clustering with the dirichlet process. NIPS'04 Learning With Structured Outputs Workshop.
Daumé H, Marcu D.  2006.  A Bayesian model for supervised clustering with the Dirichlet process prior. Journal of Machine Learning Research. 6(2):1551-1551.
Daumé H.  2007.  Frustratingly easy domain adaptation. Annual meeting-association for computational linguistics. 45:256-256.
Daumé H, Marcu D.  2005.  Learning as search optimization: approximate large margin methods for structured prediction. Proceedings of the 22nd international conference on Machine learning. :169-176.
Daumé H.  2009.  Non-parametric bayesian areal linguistics. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. :593-601.
Daumé H.  2009.  Bayesian multitask learning with latent hierarchies. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. :135-142.
Daumé H, Marcu D.  2005.  Bayesian summarization at DUC and a suggestion for extrinsic evaluation. Document understanding conference.
Daumé H, Langford J, Marcu D.  2005.  Search-based structured prediction as classification. NIPS Workshop on Advances in Structured Learning for Text and Speech Processing, Whistler, Canada.
Daumé H.  2009.  Markov random topic fields. Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. :293-296.
Daumé H, Marcu D.  2002.  A noisy-channel model for document compression. Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. :449-456.

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