Publications and Technical Reports

See my MSR homepage for a listing that is kept more up to date.

• Fractional Similarity: Cross-lingual Feature Selection for Search
  Jagadeesh Jagarlamudi and Paul N. Bennett
  To appear in Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011).  Dublin, Ireland.  April 2011.
• Learning to Rank using an Ensemble of Lambda-Gradient Models
  Christopher J.C. Burges, Krysta M. Svore, Paul N. Bennett, Andrzej Pastusiak, and Qiang Wu
  To appear in Journal of Machine Learning Research: Workshop and Conference Proceedings, Yahoo! Learning to Rank Challenge. vol. 14, pp. 25-35, Journal of Machine Learning Research.  2011.
• Detecting Duplicate Web Documents using Clickthrough Data
  F. Radlinski, P.N. Bennett, E. Yilmaz
  In Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM '11).  Hong Kong.  Feb 2011.
• Predicting Short-term Interests Using Activity-Based Search Contexts
  R. White, P.N. Bennett, S. Dumais
  In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10).  Toronto, Canada.  Oct 2010.
• Online Stratified Sampling: Evaluating Classifiers at Web-Scale
  P.N. Bennett, V. Carvalho
  Short-paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10).  Toronto, Canada.  Oct 2010.
• Classification-Enhanced Ranking
  P.N. Bennett, K. Svore, S. Dumais
  In Proceedings of the 19th Annual International World Wide Web Conference (WWW '10).  Raleigh, NC.  April 2010.
• ECIR 2010 Tutorial on Machine Learning in IR: Recent Successes and New Opportunities
  Paul Bennett, Misha Bilenko, Kevyn Collins-Thompson
  In ECIR 2010, Milton Keynes, UK, March, 2010.
• Predicting Query Performance via Classification
  K. Collins-Thompson, P.N. Bennett
  In Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010).  Milton Keynes, UK.  March 2010.
• Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop.
  F. Radlinski, P.N. Bennett, B. Carterette, T. Joachims
  In SIGIR Forum. pp. 46-52. Dec 2009.
• A report on the Human Computation Workshop (HComp 2009)
  P.G. Ipeirotis, R. Chandrasekar, P.N. Bennett, E. Law, M. Chickering, A. Mityagin, F. Provost, L. von Ahn
  In KDD Explorations. Vol 11:2 pp. 80-83. Dec 2009.
• Refined Experts: Improving Classification in Large Taxonomies
  P.N. Bennett, N. Nguyen
  In Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009).  Boston, MA.  July 2009. (Talk powerpoint slides and PDF slide deck)
• Estimating Query Performance using Class Predictions.
  K. Collins-Thompson, P.N. Bennett
  Appears as a Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009).  Boston, MA.  July 2009.
• ICML 2009 Tutorial on Machine Learning in IR
  Paul Bennett, Misha Bilenko, Kevyn Collins-Thompson
  In ICML 2009, Montreal, Canada, June, 2009.
• Beyond Binary Relevance: Preferences, Diversity, and Set-Level Judgments, a summary of the SIGIR 2008 workshop.
  P.N. Bennett, B. Carterette, O. Chapelle, T. Joachims
  In SIGIR Forum. pp 53-58. Dec 2008.
• Learning Consensus Opinion: Mining Data from a Labeling Game
  Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
  In Proceedings of the 18th Annual International World Wide Web (WWW) Conference 2009, Madrid, Spain, April, 2009.
• Evaluation Measures for Preference Judgments
  Ben Carterette, Paul N. Bennett
  As a poster-paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Singapore, July, 2008.
• A Test Collection of Preference Judgments
  Ben Carterette, Paul N. Bennett, Olivier Chapelle
  In Proceedings of the SIGIR 2008 Beyond Binary Relevance: Preferences, Diversity, and Set-Level Judgments Workshop, Singapore, July, 2008.
• Here Or There: Preference Judgments for Relevance
  Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais
  In Proceedings of the European Conference on Information Retrieval (ECIR) 2008, Glasgow, Scotland, March-April, 2008.
  The official published version of this article is available at Springer-Verlag's website and is © 2008 Springer-Verlag GmbH Berlin Heidelberg.
• Neighborhood-Based Local Sensitivity [pdf]
  Paul N. Bennett
  In Proceedings of the European Conference on Machine Learning (ECML) 2007, Warsaw, Poland, September, 2007.
  The official published version of this article is available at Springer-Verlag's website and is © 2007 Springer-Verlag Berlin Heidelberg.
• Dual Strategy Active Learning
  Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
  In Proceedings of the European Conference on Machine Learning (ECML) 2007, Warsaw, Poland, September, 2007.
  The official published version of this article is available at Springer-Verlag's website and is © 2007 Springer-Verlag Berlin Heidelberg.
• Combining Probability-Based Rankers for Action-Item Detection [pdf]
  Paul N. Bennett and Jaime G. Carbonell
  In Proceedings of the Human Language Technologies — North American ACL 2007 Conference, Rochester, New York, April, 2007.
• Building Reliable Metaclassifiers for Text Learning [pdf]
  Paul N. Bennett
  CMU-CS-06-121, Ph.D. Thesis, Computer Science Department, School of Computer Science, Carnegie Mellon University, May 2006.
  See errata.
• Feature Representation for Effective Action-Item Detection [pdf]
  Paul N. Bennett and Jaime Carbonell
  Beyond Bag-of-Words Workshop at the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 63-70, Salvador, Brazil, August 15 - August 19, 2005. ACM Press.
  (This extends work presented as a SIGIR 2005 poster.)
• Detecting Action-Items in E-mail [pdf]
  Paul N. Bennett and Jaime Carbonell
  Poster Paper in the Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15 - August 19, 2005. ACM Press.
  (A more recent extension of this work appeared in the SIGIR 2005 Beyond Bag-of-Words Workshop.)
• The Combination of Text Classifiers Using Reliability Indicators
  Paul N. Bennett, Susan T. Dumais, Eric Horvitz
  Information Retrieval. Kluwer Academic Publishers.
  January, 2005, 8(1):67-100.
  Initial Submission: 12/19/2002; Acceptance (Pending Revision): 7/21/2003; Final Version Acceptance: 1/6/2004.
  (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].)
• Inductive Transfer for Text Classification using Generalized Reliability Indicators [pdf]
  Paul N. Bennett, Susan T. Dumais, Eric Horvitz
  Proceedings of the ICML-2003 Workshop on The Continuum from Labeled to Unlabeled Data, Washington DC, U.S.A., August 2003.
• Using Asymmetric Distributions to Improve Text Classifier Probability Estimates [pdf]
  Paul N. Bennett
  Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, Canada, July-August 2003. ACM Press.
  (This paper revises work that originally appeared as CMU-CS-02-126.)
  See errata.
• Reducing Boundary Friction Using Translation-Fragment Overlap [pdf]
  Ralf Brown, Rebecca Hutchinson, Paul N. Bennett, Jaime Carbonell, Peter Jansen
  Proceedings of the Machine Translation Summit IX, New Orleans, U.S.A., September 2003.
  (Shares significant overlap in content with publication listing for CMU-CS-03-138, 2003.)
• Maximal Lattice Overlap in Example-Based Machine Translation [pdf]
  Rebecca Hutchinson, Paul N. Bennett, Jaime Carbonell, Peter Jansen, Ralf Brown
  CMU-CS-03-138, Computer Science Department, School of Computer Science, Carnegie Mellon University, June 2003.
  (Also listed as CMU-LTI-03-174. Shares significant overlap in content with publication listing for MT Summit IX, 2003.)
• Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results [pdf]
  Paul N. Bennett, Susan T. Dumais, Eric Horvitz
  Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 2002. ACM Press.
  (An extended and revised version of this work appears in Information Retrieval, 2005.)
• Using Asymmetric Distributions to Improve Classifier Probabilities: A Comparison of New and Standard Parametric Methods [pdf]
  Paul N. Bennett
  CMU-CS-02-126, Computer Science Department, School of Computer Science, Carnegie Mellon University, April 2002.
  (A revised version of this work appears in SIGIR 2003.)
  See errata.
• Assessing the Calibration of Naive Bayes' Posterior Estimates [pdf]
  Paul N. Bennett
  CMU-CS-00-155, Computer Science Department, School of Computer Science, Carnegie Mellon University, September 2000.
• Book Recommending Using Text Categorization with Extracted Information [pdf]
  Raymond J. Mooney, Paul N. Bennett and Loriene Roy
  In the AAAI-98/ICML-98 Workshop on Learning for Text Categorization and the AAAI-98 Workshop on Recommender Systems, Madison, WI, July 1998.
• Text Categorization Through Probabilistic Learning: Applications to Recommender Systems [pdf]
  Paul N. Bennett
  Undergraduate Honor Thesis, Department of Computer Sciences, University of Texas at Austin, May 1998. Also appears as AI TR 98-270.

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