The following is a selection of papers published and workshops conducted by members of the Peer39 team, and their collaborators.
S. Argamon, M. Koppel, J. W. Pennebaker, and J. Schler Mining the Blogosphere: Age, gender and the varieties of self-expression First Monday, Vol. 12 (9), September 2007
M. Koppel and J. Schler Measuring Differentiability: Unmasking Pseudonymous Authors Journal of Machine Learning (JMLR), Vol. 8, June 2007
M. Koppel and J. Schler The importance of Neutral Examples in Learning Sentiment Computational Intelligence Journal, special issue on sentiment analysis, May 2006
R. Feldman, B. Rosenfeld, Y. Aumann, J. Schler, Y. Liberzon Visual Information Extraction Knowledge and Information Systems (KAIS), Vol. 10 (1), July 2006
M. Koppel, J. Schler, S. Argamon and E. Messeri Authorship Attribution with Thousands of Candidate Authors To appear in proceedings of 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle 2006
M. Koppel and J. Schler Using Neutral Examples for Learning Polarity Proceedings of IJCAI 2005, July 2005, Edinburgh, Scotland
M. Koppel, J. Schler and K. Zigdon Determining an Author's Native Language by Mining a Text for Errors Proceedings of KDD 2005, August 2005, Chicago, IL, USA (to appear)
M. Koppel and J. Schler Authorship Verification as a One-Class Classification Problem Proceedings of 21st International Conference on Machine Learning, July 2004, Banff, Canada, p. 489-495.(Best Paper Award)
Binyamin Rosenfeld, Ronen Feldman, Moshe Fresko, Jonathan Schler, Yonatan Aumann TEG: a hybrid approach to information extraction Proceedings of Conference on Information and Knowledge Management (CIKM 2004)
Ronen Feldman, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Jonathan Schler, Binyamin Rosenfeld A Domain Independent Environment for Creating Information Extraction Modules Proceedings of Conference on Information and Knowledge Management (CIKM 2001) 586-588
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Jonathan Schler, Jonathan Stoppi A framework for specifying explicit bias for revision of approximate information extraction rules Proceedings of KDD 2000: 189-197
Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Jonathan Schler Text Mining via Information Extraction Proceedings of PKDD 1999: 165-173
Yonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Jonathan Schler Circle Graphs: New Visualization Tools for Text-Mining Proceedings of PKDD 1999: 277-282 1998
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Jonathan Schler, Martin Rajman Knowledge Management: A Text Mining Approach Proceedings of PAKM 1998
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda Lindell, Orly Liphstat, Martin Rajman, Jonathan Schler, Oren Zamir Text Mining at the Term Level Proceedings of PKDD 1998: 65-73
J. Schler, Moshe Koppel, S. Argamon and J. Pennebaker Effects of Age and Gender on Blogging Proceedings of AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs
M. Koppel, J. Schler and D. Mughaz Text Categorization for Authorship Verification Eighth International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, Florida, January 2004
M. Koppel and J. Schler Exploiting Stylistic Idiosyncrasies for Authorship Attribution Proceedings of IJCAI'03 Workshop on Computational Approaches to Style Analysis and Synthesis, Acapulco, Mexico
Y. Solewicz and M. Koppel Using Post-Classifiers to Enhance Fusion of Low and High-Level Speaker Recognition IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15 (7), September 2007, pp. 2063-2071
D. Davidov, A. Rappoport and M. Koppel Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining Proc. of ACL, July 2007, pp. 232-239
M. Koppel, N. Akiva and I. Dagan Feature Instability as a Criterion for Selecting Potential Style Markers JASIST: Journal of the American Society for Information Science and Technology, Volume 57, Issue 11, July 2007, pp. 1519-1525
Y. Solewicz and M. Koppel Automatically Correcting Bias in Speaker Recognition Systems Proc. IEEE Machine Learning for Signal Processing Workshop, Sept. 2006
S. Hota, S. Argamon, M. Koppel, I. Zigdon Performing Gender: Automatic Stylistic Analysis of Shakespeare's Characters Proc. Digital Humanities, July 2006
M. Koppel, D. Mughaz and N. Akiva New Methods for Attribution of Rabbinic Literature Hebrew Linguistics: A Journal for Hebrew Descriptive, Computational and Applied Linguistics, to appear
O. Glickman, I. Dagan and M. Koppel A Probabilistic Classification Approach for Lexical Textual Entailment Proceedings of AAAI, Pittsburgh PA, July 2005
Z. Figov, Y. Tal, and M. Koppel Detecting and Removing Shadows Proc. of 7th IASTED Int'l Conference on Computer Graphics and Imaging, Kaui HW, August 2004
Y. Solewicz and M. Koppel Selective Fusion for Speaker Verification in Surveillance IEEE International Conference on Intelligence and Security Informatics, Atlanta GA, May 2005
S. Argamon, S. Dawhle, M. Koppel and J. Pennebaker Lexical Predictors of Personality Type Proceedings of Classification Society of North America, St. Louis MI, June 2005