publications Hal Daumé III
about me cv + bio publications research teaching students software photos calendar contact me links		All of my publications are available here. My Erdös number is at most 4 (me to Suresh Venkatasubramanian to Andy Yao to Paul Erdös). Click here for a listing with summaries. The SRC files are gzipped tars containing the tex, figures and required style files. Thesis Practical Structured Learning for Natural Language Processing. Ph.D. Thesis. [PDF] [BIB] [TGZ] [html] Journal Papers Search-based Structured Prediction. Machine Learning Journal (2009). (With:John Langford and Daniel Marcu) [PDF] [BIB] [TGZ] [html] A Bayesian Statistics Approach to Multiscale Coarse Graining. Journal of Chemical Physics (2009). (With:Pu Liu, Qiang Shi and Gregory Voth) [BIB] [TGZ] Domain Adaptation for Statistical Classifiers. Journal of Artificial Intelligence Research (2006). (With:Daniel Marcu) [PDF] [BIB] [TGZ] Induction of Word and Phrase Alignments for Automatic Document Summarization. Computational Linguistics (2005). (With:Daniel Marcu) [PDF] [BIB] [TGZ] A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior. Journal of Machine Learning Research (2005). (With:Daniel Marcu) [PDF] [BIB] [TGZ] Conference Papers Multi-Label Prediction via Sparse Infinite CCA. Neural Information Processing Systems 2009. (With:Piyush Rai) [BIB] [TGZ] Markov Random Topic Fields. Association for Computational Linguistics 2009. [BIB] [TGZ] Bayesian Multitask Learning with Latent Hierarchies. Uncertainty in Artificial Intelligence 2009. [BIB] [TGZ] Unsupervised Search-based Structured Prediction. International Conference on Machine Learning 2009. [BIB] [TGZ] Exponential Family Hybrid Semi-Supervised Learning. International Joint Conference on Artificial Intelligence 2009. (With:Arvind Agarwal) [BIB] [TGZ] Streamed Learning: One-Pass SVMs. International Joint Conference on Artificial Intelligence 2009. (With:Piyush Rai and Suresh Venkatasubramanian) [BIB] [TGZ] Non-Parametric Bayesian Areal Linguistics. North American Association for Computational Linguistics 2009. [BIB] [TGZ] Streaming for Large Scale NLP: Language Modeling. North American Association for Computational Linguistics 2009. (With:Amit Goyal and Suresh Venkatasubramanian) [BIB] [TGZ] The Infinite Hierarchical Factor Regression Model. Neural Information Processing Systems 2008. (With:Piyush Rai) [BIB] [TGZ] Cross-Task Knowledge-Constrained Self Training. Empirical Methods in NLP 2008. [BIB] [TGZ] Structure Compilation: Trading Structure for Features. International Conference on Machine Learning 2008. (With:Percy Liang and Dan Klein) [BIB] [TGZ] Name Translation in Statistical Machine Translation: Learning When to Transliterate. Association for Computational Linguistics 2008. (With:Ulf Hermjakob and Kevin Knight) [BIB] [TGZ] Bayesian Agglomerative Clustering with Coalescents. Neural Information Processing Systems 2007. (With:Yee Whye Teh and Daniel Roy) [PDF] [BIB] [TGZ] Frustratingly Easy Domain Adaptation. Association for Computational Linguistics 2007. [PDF] [BIB] [TGZ] A Bayesian Model for Discovering Typological Implications. Association for Computational Linguistics 2007. (With:Lyle Campbell) [PDF] [BIB] [TGZ] [html] Fast search for Dirichlet process mixture models. Conference on AI and Statistics (2007). [PDF] [BIB] [TGZ] Bayesian Query-Focused Summarization. Association for Computational Linguistics 2006. (With:Daniel Marcu) [PDF] [BIB] [TGZ] A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. Human Language Technologies/Empirical Methods in NLP 2005. (With:Daniel Marcu) [PDF] [BIB] [TGZ] Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction. International Conference on Machine Learning 2005. (With:Daniel Marcu) [PDF] [BIB] [TGZ] A Phrase-Based HMM Approach to Document/Abstract Alignment. Empirical Methods in NLP 2004. (With:Daniel Marcu) [PDF] [BIB] [TGZ] NP Bracketing by Maximum Entropy Tagging and SVM Reranking. Empirical Methods in NLP 2004. (With:Daniel Marcu) [PDF] [BIB] [TGZ] Web Search Intent Induction via Automatic Query Reformulation. North American Association for Computational Linguistics 2004 Short Paper. (With:Eric Brill) [PDF] [BIB] [TGZ] The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks. International Conference on Natural Language Generation 2002. (With:Kevin Knight, Irene Langkilde-Geary, Daniel Marcu and Kenji Yamada) [PDF] [BIB] [TGZ] A Noisy-Channel Model for Document Compression. Association for Computational Linguistics 2002. (With:Daniel Marcu) [PDF] [BIB] [TGZ] Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval. Human Language Technologies 2001. (With:Eric Nyberg) [PDF] [BIB] [TGZ] Workshop Papers Unsupervised Part of Speech Tagging Without a Lexicon. NIPS Workshop on Grammar Induction, Representation of Language and Language Learning. (With:Adam Teichert) [BIB] [TGZ] Fast Search for Infinite latent Feature Models. NIPS Workshop on Non-parametric Bayes. (With:Piyush Rai) [BIB] [TGZ] Semi-supervised or Semi-unsupervised?. NAACL Workshop on Semi-supervised Learning for NLP, 2009. [BIB] [TGZ] Perceptron-based Coherence Prediction. Chip Multiprocessor Memory Systems and Interconnects, ICSA 2008. (With:Devyani Ghosh and John Carter) [BIB] [TGZ] Search-Based Structured Prediction as Classification. NIPS 2005 Workshop on Advances in Structured Learning for Text and Speech Processing. (With:John Langford and Daniel Marcu) [PDF] [BIB] [TGZ] Bayesian Summarization and DUC and a Suggestion for Extrinsic Evaluation. Document Underanding Conference (DUC) 2005. (With:Daniel Marcu) [PDF] [BIB] [TGZ] Bayesian Multi-Document Summarization at MSE. ACL 2005 Workshop on Multilingual Summarization Evaluation (MSE). (With:Daniel Marcu) [PDF] [BIB] [TGZ] Supervised clustering with the Dirichlet process. NIPS 2004 Learning With Structured Outputs Workshop. (With:Daniel Marcu) [PDF] [BIB] [TGZ] Generic Sentence Fusion is an Ill-Defined Summarization Task. Text Summarization Branches Out Workshop (ACL 2004). (With:Daniel Marcu) [PDF] [BIB] [TGZ] A Tree-Position Kernel for Document Compression. Document Underanding Conference (DUC) 2004. (With:Daniel Marcu) [PDF] [BIB] [TGZ] GLEANS: A Generator of Logical Extracts and Abstracts for Nice Summaries. Document Underanding Conference (DUC) 2002. (With:Abdesammad Echihabi, Daniel Marcu, Dragos Stefan Munteanu and Radu Soricut) [BIB] [TGZ] Book Review Book Review: Automatic Summarization (by Inderjeet Mani). Machine Translation. [PDF] Unpublished Papers The following papers are not published anywhere, nor have they been peer reviewed. I put them up because I think (hope!) people might find them useful. Searn in Practice. (With:John Langford and Daniel Marcu) [PDF] [BIB] [TGZ] [html] Carefully Approximated Bayes Factors for Feature Selection in MaxEnt Models. [PDF] [BIB] [TGZ] Notes on CG and LM-BFGS Optimization of Logistic Regression. [PDF] [BIB] [TGZ] Support Vector Machines for Natural Language Processing. [PDF] From Zero to Reproducing Kernel Hilbert Spaces in Twelve Pages or Less. [PDF] [BIB] [TGZ] Yet Another Haskell Tutorial. [PDF] [BIB] [TGZ] [html] A Phrase-Based HMM. [PDF] [BIB] [TGZ] Some notes on binning for Good-Turing smoothing. Asymmetry of Coordination. [PDF] [BIB] [TGZ]
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last updated on eight november, two thousand nine; contact