Haym Hirsh's Publications:
Text Retrieval, Text Classification, and Text Mining

Some papers can be viewed by clicking on their titles.
(A few more still need to be put on-line.)

• Sarah Zelikovitz, William Cohen, and Haym Hirsh (2007).
  Extending WHIRL with Background Knowledge for Improved Text Classification.
  Information Retrieval, 10(1):35-67.
• Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, and Aynur A. Dayanik (2003).
  Converting Numerical Classification into Text Classification.
  Artificial Intelligence, 143(1):51-77, January 2003.
• Sofus Macskassy and Haym Hirsh (2003).
  Adding Numbers to Text Classification.
  Proceedings of the Twelfth International Conference on Information and Knowledge Management (CIKM-2003)
• Sarah Zelikovitz and Haym Hirsh (2002).
  Integrating Background Knowledge into Nearest-Neighbor Text Classification.
  Proceedings of the 6th European Conference on Case Based Reasoning. Springer Verlag. (Published version of invited talk.)
• Chumki Basu, Haym Hirsh, William W. Cohen, and Craig Nevill-Manning (2001).
  Technical Paper Recommendation: A Study in Combining Multiple Information Sources.
  Journal of Artificial Intelligence Research, Volume 14, pages 231-252.
• Sarah Zelikovitz and Haym Hirsh (2001).
  Using LSI for Text Classification in the Presence of Background Text.
  Proceedings of the Tenth International Conference on Information and Knowledge Management (CIKM-2001)
• Sofus A. Macskassy, Haym Hirsh, Foster Provost, Ramesh Sankaranarayanan, and Vasant Dhar (2001).
  Intelligent Information Triage.
  Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2001).
• Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik (2001).
  Using Text Classifiers for Numerical Classification.
  Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001).
• Sarah Zelkovitz and Haym Hirsh (2001).
  Improving Text Classification with LSI Using Background Knowledge.
  Working Notes of the Workshop on Text Learning: Beyond Supervision,
  Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001).
• Sofus A. Macskassy, Haym Hirsh, Foster Provost, Ramesh Sankaranarayanan, Vasant Dhar (2001).
  Information Triage using Prospective Criteria.
  Working Notes of the Workshop on Machine Learning, Information Retrieval and User Modeling,
  Eighth International Conference on User Modeling (UM-2001).
• Sarah Zelikovitz and Haym Hirsh (2000).
  Improving Short-Text Classification using Unlabeled Background Knowledge to Assess Document Similarity.
  Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000).
  Morgan Kaufmann Publishers.
• Sofus A. Macskassy, Aynur A. Dayanik, and Haym Hirsh (2000).
  Information Valets for Intelligent Information Access.
  Working Notes of the AAAI Spring Symposia Series on Adaptive User Interfaces (AUI-2000).
• Sofus A. Macskassy, Aynur A. Dayanik, and Haym Hirsh (1999).
  EmailValet: Learning User Preferences for Wireless Email.
  Working Notes of the Workshop on Learning about Users, and Working Notes of the Workshop on Machine Learning for Information Filtering,
  Sixteenth International Joint Conference on Artificial Intelligence (IJCAI99).
• Chumki Basu, Haym Hirsh, William Cohen, and Craig Nevill-Manning (1999).
  Recommending Papers by Mining the Web.
  Working Notes of the Workshop on Learning about Users, and Working Notes of the Workshop on Machine Learning for Information Filtering, Sixteenth International Joint Conference on Artificial Intelligence (IJCAI99).
• Chumki Basu and Haym Hirsh (1999).
  Learning User Models for Recommendation
  Working Notes of the Workshop on Machine Learning for User Modeling, International Conference on User Modeling (UM99).
• Sofus A. Macskassy, Aynur A. Dayanik, Haym Hirsh (1999).
  EmailValet: Learning Email Preferences for Wireless Platforms.
  Working Notes of the Workshop on Machine Learning for User Modeling, International Conference on User Modeling (UM99).
• Ronen Feldman, Ido Dagan, and Haym Hirsh (1998).
  Mining Text Using Keyword Distributions.
  Intelligent Information Systems, 10(3):281-300.
• William W. Cohen and Haym Hirsh (1998).
  Joins that Generalize: Text Classification Using WHIRL.
  Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD98).
  AAAI Press/MIT Press.
• Daniel Kudenko and Haym Hirsh (1998).
  Feature Generation for Sequence Categorization.
  Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI98).
  AAAI Press/MIT Press.
• Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, and Martin Rajman (1998).
  Knowledge Management: A Text Mining Approach.
  Proceedings of the Second International Conference on Practical Aspects of Knowledge Management.
• Ronen Feldman and Haym Hirsh (1997).
  Exploiting Background Information in Knowledge Discovery from Text.
  Intelligent Information Systems, 9(1):83-97.
• Ronen Feldman and Haym Hirsh (1997).
  Finding Associations in Collections of Text.
  In R.S. Michalski, I. Bratko, and M. Kubat, editors, Machine Learning and Data Mining: Methods and Applications, pages 223-240.
  John Wiley and Sons.
• Ronen Feldman, Amihood Amir, Y. Aumann, A. Zilberstein, and Haym Hirsh (1997).
  Incremental Algorithms for Association Generation.
  Proceedings of the 1st Pacific Asia Conference on Knowledge Discovery and Data Mining.
• Kwong Bor Ng, Haym Hirsh, Paul B. Kantor, David Loewenstern, and Chumki Basu, (1997).
  Data Fusion of Machine-Learning Methods for the TREC5 Routing Task (and other work).
  Proceedings of the Fifth Text REtrieval Conference (TREC-5), pages 477-488.
  NIST Special Publication 500-238.
• Marti Hearst and Haym Hirsh (1996).
  Working Notes of the AAAI Spring Symposium on Machine Learning in Information Access.
  AAAI Press.
• Ronen Feldman and Haym Hirsh (1996).
  Mining Associations in Text in the Presence of Background Knowledge.
  Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD96), pages 343-346.
• Ido Dagan, Ronen Feldman, and Haym Hirsh (1996).
  Keyword-Based Browsing and Analysis of Large Document Sets.
  Proceedings of the Symposium on Document Analysis and Information Retrieval (SDAIR96), pages 191-208.