Publications

    Peer-Reviewed Journals

  1. Jeff Terry, Miu Lun Lau, Jiateng Sun, Chang Xu, Bryan Hendricks, Julia Kise, Mrinalini Lnu, Sanchayni Bagade, Shail Shah, Priyanka Makhijani, Adithya Karantha, Travis Boltz, Max Oellien, Matthew Adas, Shlomo Argamon, Min Long, Donna Post Guillen. Analysis of Extended X-ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques. Applied Surface Science, in press, 2021. DOI: 10.1016/j.apsusc.2021.149059.
  2. Shlomo Argamon. On Register in Computational Language Research. Register Studies, 1(1), 2019.
  3. Shlomo Argamon. Computational Forensic Authorship Analysis: Promises and Pitfalls. Language and Law= Linguagem e Direito, 5(2), 2018.
  4. Daniel Lakens, Federico G Adolfi, Casper J Albers, Farid Anvari, Matthew AJ Apps, Shlomo E Argamon, et al. Justify Your Alpha. Nature Human Behaviour, 2:168- 171, 2018.
  5. Dunn Jonathan, Shlomo Argamon, Amin Rasooli, and Geet Kumar. Profile-Based Authorship Analysis. Digital Scholarship in the Humanities, 22, 2015.
  6. Shlomo Argamon and Moshe Koppel, A Systemic Functional Approach to Automated Authorship Analysis. Journal of Law & Policy, 12:299–315, 2013.
  7. Moshe Koppel, Jonathan Schler, and Shlomo Argamon. Authorship Attribution: What’s Easy and What’s Hard? Journal of Law & Policy, 12:317–331, 2013.
  8. Neuman, Yair, Dan Assaf, Yohai Cohen, Mark Last, Shlomo Argamon, Newton Howard, and Ophir Frieder. Metaphor Identification in Large Texts Corpora. PLOS ONE 8(4), 2013:
    http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0062343.
  9. Moshe Koppel, Jonathan Schler, Shlomo Argamon, and Yaron Winter. The Fundamental Problem of Authorship Attribution. English Studies (Special issue on stylometry and authorship attribution), 93(3):284–291, 2013.
  10. Moshe Koppel, Jonathan Schler, and Shlomo Argamon. Authorship Attribution in the Wild. Language Resources and Evaluation, 45(1):83–94, published online 13 January, 2010.
  11. Shlomo Argamon and Mark Olsen. Words, Patterns and Documents: Experiments in Machine Learning and Text Analysis. Digital Humanities Quarterly, 3(2), 2009.
  12. Shlomo Argamon, Jean-Baptiste Goulain, Russell Horton, Mark Olsen. Vive la Différence! Text Mining Gender Difference in French Literature. Digital Humanities Quarterly, 3(2), 2009.
  13. Shlomo Argamon, Charles Cooney, Russell Horton, Mark Olsen, Sterling Stein. Gender, Race, and Nationality in Black Drama, 1950–2006: Mining Differences in Language Use in Authors and their Characters. Digital Humanities Quarterly, 3(2), 2009.
  14. Moshe Koppel, Jonathan Schler, and Shlomo Argamon. Computational methods in authorship attribution. Journal of the American Society for Information Sciences and Technology, 60(1):9–26, 2009.
  15. Shlomo Argamon and Moshe Koppel. Automatically profiling the author of an anonymous text. Communications of the Association for Computing Machinery, 52(2), 2009.
  16. Jeff Dodick, Shlomo Argamon, and Paul Chase. Understanding scientific methodology in the historical and experimental sciences via linguistic analysis. Science and Education, 18(8), August 2009.
  17. Shlomo Argamon. Interpreting Burrows’s Delta: Geometric and probabilistic considerations. Literary and Linguistic Computing, 23: 131-147, 2008.
  18. Shlomo Argamon, Jeff Dodick, and Paul Chase. Language use reflects scientific methodology: A corpus-based study of peer-reviewed journal articles. Scientometrics, 75(2):203-238, 2008.
  19. Shlomo Argamon, Moshe Koppel, James W. Pennebaker, and Jonathan Schler. Mining the Blogosphere: Age, gender and the varieties of self-expression First Monday, 12(9), September 2007. http://firstmonday.org/issues/issue12_9/argamon/index.html
  20. Shlomo Argamon, Casey Whitelaw, Navendu Garg, Paul Chase, Sushant Dhawle, and Shlomo Levitan. Stylistic text classification using functional lexical features. Journal of the American Society for Information Sciences and Technology, 58(6), April 2007.
  21. Shlomo Argamon and Mark Olsen. Toward meaningful computing. Communications of the Association for Computing Machinery, April, 2006.
  22. Shlomo Argamon, Moshe Koppel, Jonathan Fine, Anat Rachel Shimoni. Gender, Genre, and Writing Style in Formal Written Texts. Text, 23(3), 2003.
  23. Moshe Koppel, Shlomo Argamon, Anat Rachel Shimoni. Automatically Categorizing Written Texts by Author Gender. Literary and Linguistic Computing, 17(4), 2003.
  24. Julio Ortega, Moshe Koppel, and Shlomo Argamon-Engelson. Arbitrating among competing classifiers using learned referees. Knowledge and Information Systems, 3(4):470–490, 2001.
  25. Shlomo Argamon-Engelson, Moshe Koppel, and Hillel Walters. Maximizing theory accuracy through selective reinterpretation. Machine Learning, 41(2):123–152, 2000.
  26. Shlomo Argamon-Engelson, Ido Dagan, and Yuval Krymolowsky. A memory-based approach to learning shallow natural-language patterns. Journal of Experimental and Theoretical Artificial Intelligence, 11:369–390, 1999.
  27. Shlomo Argamon-Engelson and Ido Dagan. Committee-based sample selection for probabilistic classifiers. Journal of Artificial Intelligence Research, 11:335-360, 1999.
  28. Shlomo Argamon-Engelson, Sarit Kraus, and Sigalit Sina. Interleaved vs. a priori exploration for repeated navigation in random graphs. International Journal of Pattern Recognition and Artificial Intelligence, 13(7):963–986, 1999.
  29. Shlomo Argamon-Engelson and Moshe Koppel. Tractability of theory patching. Journal of Artificial Intelligence Research, 8:39–65, 1998. pub:AIJ-98 Shlomo Argamon-Engelson, Sarit Kraus, and Sigalit Sina. Utility-based on-line exploration for repeated navigation in an embedded graph. Artificial Intelligence, 101(1–2):267–284, 1998.
  30. Shlomo Argamon-Engelson. Using image signatures for place recognition. Pattern Recognition Letters, 19(10):941–951, 1998.
  31. Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis, and Oded Maron. Inferring finite automata with stochastic output functions and an application to map learning. Machine Learning, 18:81–108, 1995.

    Refereed Book Chapters

  32. Shlomo Argamon and Moshe Koppel. The Rest of the Story: Finding Meaning in Stylistic Variation. In Shlomo Argamon, Kevin Burns, and Shlomo Dubnov, eds. The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning, Springer, 2010.
  33. Kenneth Bloom and Shlomo Argamon. Unsupervised Extraction of Appraisal Expressions. In Atefeh Farzindar and Vlado Kešelj, eds. Lecture Notes in Computer Science, Volume 6085/2010, pp. 290-294, Springer, 2010.
  34. Mathieu Guidère, Newton Howard, and Shlomo Argamon. Rich Language Analysis for Counterterrorism. In Shlomo Argamon and Newton Howard, eds., Computational Methods for Counterterrorism, Springer, 2009.
  35. Shlomo Argamon, Ken Bloom, Andrea Esuli, and Fabrizio Sebastiani. Automatically Determining Attitude Type and Force for Sentiment Analysis. In Zygmunt Vetulani and Hans Uszkoreit, eds., Human Language Technology: Challenges of the Information Society, Lecture Notes in Computer Science vol. 5603. Springer, 2009.
  36. Jeff Dodick and Shlomo Argamon. Rediscovering the Historical Methodology of the Earth Sciences by Understanding Scientific Communication Styles. In Catherine Manduca and David Mogk, eds., Earth and Mind: How Geologists Think and Learn about the Earth, Geological Society of America Special Paper 413, pp. 105–120; Boulder, CO, 2006.
  37. Shlomo Argamon and Jeff Dodick. A Corpus-Based Study of Scientific Methodology: Comparing the Historical and Experimental Sciences. In J. G. Shanahan, Y. Qu, J. Wiebe, eds., Computing Attitude and Affect in Text, Springer, Dordrecht, The Netherlands, 2005.
  38. Sean Engelson and Ido Dagan. Sample selection in natural language learning. In S. Wermter, E. Riloff, G. Scheler, eds., Symbolic, Connectionist, and Statistical Approaches To Learning For Natural Language Processing, Springer-Verlag, 1996.

    Edited Books

  39. Yu Wang, Hui Xiong, Shlomo Argamon, XiangYang Li, and JianZhong Li, eds. Big Data Computing and Communications: First International Conference, BigCom 2015, Taiyuan, China, August 1-3, 2015, Proceedings. Vol. 9196. Springer, 2015. ISBN 978-3-319-22047-5.
  40. Shlomo Argamon and Newton Howard, eds.
    Computational Methods for Counterterrorism.
    Springer, 2009. ISBN: 978-3-642-01140-5.
  41. Shlomo Argamon, Kevin Burns, and Shlomo Dubnov, eds.
    The Structure of Style: Algorithmic Approaches to Manner and Meaning.
    Springer, 2010. ISBN 978-3-642-12337-5.

    Preprints

  42. Lakens, D., Adolfi, F. G., Albers, C. J., Anvari, F., Apps, M. A. J., Argamon, S. E., … Zwaan, R. A. (2017, September 18). Justify Your Alpha: A Response to “Redefine Statistical Significance”. Retrieved from psyarxiv.com/9s3y6

    Book Reviews

  43. Shlomo Argamon. Book review of Scalability Issues in Authorship Attribution. Literary and Linguistic Computing, published online December 12, 2011.
  44. Shlomo Argamon. Book review of Opinion Mining and Sentiment Analysis. Computational Linguistics, 35(2), June 2009.

    High-Impact Refereed Conferences

    Acceptance rates in these conferences are typically 30% or less; exact rates are given when available.
  45. Lisa Gandy, Nadji Allan, Mark Atallah, Ophir Frieder, Newton Howard, Sergey Kanareykin, Moshe Koppel, Mark Last, Yair Neuman, Shlomo Argamon. Automatic identification of conceptual metaphors with limited knowledge. In Proc. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, WA, July 2013.
  46. Rodney Summerscales, Shlomo Argamon, Shangda Bai, Jordan Hupert, and Alan Schwartz. Automatic summarization of results from clinical trials. Paper in Proc. IEEE BIBM 2011, Atlanta, GA, November 2011.
    Chosen as one of 8 (out of 59) papers invited to be included in a special issue of BMC Genomics journal.
  47. Maojin Jiang and Shlomo Argamon. Exploiting subjectivity analysis in blogs to improve political leaning categorization. Poster in Proc. 31st Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Singapore, August 2008, pp. 725-726.
  48. Kenneth Bloom, Navendu Garg, and Shlomo Argamon. Extracting appraisal expressions. In Proc. Human Language Technologies: Conference of the North American Association for Computational Linguistics (NAACL-HLT), Rochester, New York, April, 2007.
  49. Shlomo Argamon, Gady Agam, Ophir Frieder, David Grossman, David Lewis. A Complex Document Information Processing Prototype. Poster in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  50. Paul Chase, Shlomo Argamon. Stylistic Text Segmentation. Poster in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  51. Navendu Garg, Kenneth Bloom, Shlomo Argamon. Appraisal Expression Finder. Demonstration in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  52. Moshe Koppel, Shlomo Argamon, Jonathan Schler. Authorship Attribution with Thousands of Candidate Authors. Poster in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  53. David Lewis, Shlomo Argamon, Gady Agam, Ophir Frieder, David Grossman. Building a Test Collection for Complex Document Information Processing. Poster in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  54. Sterling Stein, Shlomo Argamon, Ophir Frieder. The effect of OCR on Stylistic Text Classification. Poster in Proc. 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Seattle, WA, August 2006.
  55. Casey Whitelaw, Navendu Garg, and Shlomo Argamon. Using appraisal groups for sentiment analysis. In Proc. Conference on Information and Knowledge Management, Bremen, Germany, November 2005.
  56. Shlomo Argamon, Paul Chase, and Jeff Dodick. The languages of science: A corpus-based study of experimental and historical science articles. Poster in Proc. 27th Annual Meeting of the Cognitive Science Society, Stresa, Italy, August 2005.
  57. Shlomo Argamon, Navot Akiva, Amihood Amir, and Oren Kapah. Efficient Unsupervised Recursive Word Segmentation Using Minimum Description Length. In Proc. 20th International Conference on Computational Linguistics (COLING), Geneva, Switzerland, August 2004.
  58. Shlomo Argamon and Jeff Dodick. Linking Rhetoric and Methodology in Formal Scientific Writing. Poster in Proc. 26th Annual Meeting of the Cognitive Science Society, Chicago, IL, August 2004.
  59. Khelan Bhatt, Martha Evens, and Shlomo Argamon. Hedged Responses and Expressions of Affect in Human/Human and Human/Computer Tutorial Interactions. Poster in Proc. 26th Annual Meeting of the Cognitive Science Society, Chicago, IL, August 2004.
  60. Shlomo Argamon, Marin Šarić, and Sterling S. Stein. Style mining of electronic messages for multiple author discrimination. Poster in Proc. ACM Conference on Knowledge Discovery and Data Mining, Washington, DC, August 2003.
  61. Shlomo Argamon-Engelson, Ido Dagan, and Yuval Krymolowsky. A Memory-Based Approach to Learning of Shallow Natural Language Patterns. Proc. of the Conference of the Association of Computational Linguistics. Montreal, Quebec, August 1998.
  62. Sean Engelson and Ido Dagan. Minimizing manual annotation cost in supervised training from corpora. Proc. 34th Annual Meeting of the Association for Computational Linguistics, June 1996.
  63. Sean Engelson and Moshe Koppel. Identifying the information contained in a flawed theory. Proc. Int’l Conference on Machine Learning, July 1996.
  64. Sean Engelson. Learning robust plans for mobile robots from a single trial. Proc. AAAI National Conference on Artificial Intelligence, August 1996. 9.17
  65. Sean Engelson and Moshe Koppel. Distilling reliable information from unreliable theories. Proc. International Conference on Machine Learning, July 1995.
  66. Ido Dagan and Sean Engelson. Committee-based sampling for training probabilistic classifiers. Proc. International Conference on Machine Learning, July 1995.
  67. Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis, and Oded Maron. Inferring finite automata with stochastic output functions and an application to map learning. Proc. AAAI National Conference on Artificial Intelligence, pages 208–214, San Jose, CA, July 1992.

    Other Refereed Conferences

  68. Shlomo Argamon. It's the Autonomy, Stupid! On reasonable and unreasonable risk-assessment of AI. Presented at Brain-based and Artificial Intelligence: Socio-ethical Conversations in Computing and Neurotechnology, Chicago, IL, May 2018.
  69. Dan Assaf, Yair Neuman, Yohai Cohen, Shlomo Argamon, Newton Howard, Mark Last, Ophir Frieder, and Moshe Koppel. Why “Dark Thoughts” aren’t really Dark: A Novel Algorithm for Metaphor Identification. IEEE Symposium Series on Computational Intelligence 2013, Singapore, April 2013.
  70. Rodney L. Summerscales, Shlomo Argamon, Jordan Hupert, and Alan Schwartz. Identifying Treatments, Groups, and Outcomes in Medical Abstracts. The Sixth Midwest Computational Linguistics Colloquium, May 2009.
  71. Maojin Jiang and Shlomo Argamon. Finding Political Blogs and Their Political Leanings. Proc. SIAM International Conference on Data Mining, Text Mining Workshop, April 2008.
  72. Maojin Jiang and Shlomo Argamon. Preliminary Semantic Analysis of Political Blogs. Proc. International Conference on Weblogs and Social Media, March/April 2008.
  73. Kenneth Bloom and Shlomo Argamon. Learning appraisal extraction patterns. Proc. Conf. American Association for Corpus Linguistics, March, 2008.
  74. Bart Dolega, Gady Agam, and Shlomo Argamon. Stroke frequency descriptors for handwriting-based writer identification. Proceedings of SPIE – Volume 6815 Document Recognition and Retrieval XV, January, 2008.
  75. Shlomo Argamon, Ken Bloom, Andrea Esuli, and Fabrizio Sebastiani. Automatically Determining Attitude Type and Force for Sentiment Analysis. 3rd Language and Technology Conference, Poznan, Poland, October 2007.
  76. Ken Bloom, Sterling Stein, and Shlomo Argamon. Appraisal Extraction for News Opinion Analysis at NTCIR-6. NTCIR 6, Tokyo, Japan, May 2007.
  77. Shlomo Argamon, Moshe Koppel, James W. Pennebaker, Jonathan Schler. Automated Authorship Profiling. International Association of Forensic Linguists Conference 8, Seattle, WA, July 2007.
  78. Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabrizio Sebastiani. Building a Lexicon for Sentiment Analysis by Automatically Analyzing Dictionary Glosses. Conference of the Dictionary Society of North America, Chicago, IL, June 2007.
  79. Gady Agam, Shlomo Argamon, Ophir Frieder, David Grossman, and David Lewis. Content-based document image retrieval in complex document collections. Proceedings of SPIE – Volume 6500 Document Recognition and Retrieval XIV, January, 2007.
  80. Sobhan Raj Hota, Shlomo Argamon, Rebecca Chung. Gender in Shakespeare: Automatic Stylistics Gender Classification Using Syntactic, Lexical, and Lemma features. Chicago Colloquium on Digital Humanities and Computer Science (DHCS 2006), Chicago, IL, November 2006.
  81. Maojin Jiang, Shlomo Argamon, Abdur Chowdhury and Kush Sidhu. ZED: Explaining Temporal Variations in Query Volume. In Proc. 2nd International Conference on Advanced Data Mining and Applications, Xi’An, China, August 2006.
  82. Sobhan Hota, Shlomo Argamon, Moshe Koppel, Iris Zigdon. Performing Gender: Automatic Stylistic Analysis of Shakespeare’s Characters. Extended abstract in Proc. Digital Humanities, Paris, France, July 2006.
  83. Shlomo Levitan, Shlomo Argamon. Fixing the Federalist: Correcting Results and Evaluating Editions for Automated Attribution. Extended abstract in Proc. Digital Humanities, Paris, France, July 2006.
  84. Sterling Stein, Shlomo Argamon. A Mathematical Explanation of Burrows’s Delta. Extended abstract in Proc. Digital Humanities, Paris, France, July 2006.
  85. Shlomo Argamon, Sushant Dhawle, Moshe Koppel, and James Pennebaker. Lexical Predictors of Personality Type. In Proc. 2005 Conference of the Classification Society of North America, St. Louis, June 2005.
  86. David Madigan, Alexander Genkin, David D. Lewis, Shlomo Argamon, Dmitriy Fradkin, Li Ye. Author Identification on the Large Scale. In Proc. 2005 Conference of the Classification Society of North America, St. Louis, June 2005.
  87. Shlomo Argamon and Shlomo Levitan. Measuring the Usefulness of Function Words for Authorship Attribution. Extended abstract in Proc. 2005 Conference of the Association for Computing in the Humanities & Literary and Linguistic Computing, June, 2005.
  88. Casey Whitelaw, Navendu Garg, and Shlomo Argamon. Using Appraisal Taxonomies for Sentiment Analysis. In Proc. Second Midwest Computational Linguistic Colloquium (MCLC 2005), Columbus, Ohio, May 2005.
  89. Gady Agam, Shlomo Argamon, Ophir Frieder, David Grossman, and David Lewis. Complex Document Information Processing: Towards Software and Test Collections. Extended abstract in Proc. 2005 Conference on Intelligence Analysis, May, 2005.
  90. Shlomo Argamon, Nazli Goharian, David Grossman, Ophir Frieder, and Nambury Raju. A Specialization in Information and Knowledge Management Systems for the Undergraduate Computer Science Curriculum. In Proc. IEEE International Conference on Information Techniques on Coding & Computing (ITCC), April 2005.
  91. Maojin Jiang, Eric Jensen, Steven Beitzel, Shlomo Argamon. Choosing the Right Bigrams For Information Retrieval. In Proc. Meeting of the International Federation of Classification Societies (IFCS), Chicago, IL, July 2004.
  92. Steven Beitzel, Eric Jensen, Maojin Jiang, and Shlomo Argamon. Effective Use of Phrases in Language Modeling to Improve Information Retrieval. Proc. 8th AI and Mathematics Symposium, Ft. Lauderdale, FL, January 2004.
  93. Shlomo Argamon-Engelson, Sarit Kraus, and Sigalit Sina. Utility-Based On-Line Exploration for Repeated Tasks. At The Fifth Bar-Ilan Symposium on the Foundations of Artificial Intelligence. Ramat Gan, Israel, June, 1997.
  94. Sean Engelson. Passive mapping and intermittent exploration for mobile robots. At AIAA Conference On Intelligent Robots in Factory, Field, Space, and Service. Houston, Texas, March 1994.
  95. Gregory Hager, Sean Engelson, and Sami Atiya. On comparing statistical and set-based methods in sensor data fusion. Proc. IEEE Conference on Robotics and Automation, 1993.
  96. Sean P. Engelson and Drew V. McDermott. Error correction in mobile robot map learning. Proc. IEEE Conference on Robotics and Automation, pages 2555–2560, Nice, France, May 1992.
  97. Sean P. Engelson. Active methods for place recognition using image signatures. Proc. SPIE Symposium on Intelligent Robotic Systems, Sensor Fusion V, pages 393–404, Boston, MA, November 1992.
  98. Sean Engelson and Drew V. McDermott. Image signatures for place recognition and map construction. Proc. SPIE Symposium on Intelligent Robotic Systems, Sensor Fusion IV, pages 282–293, Boston, MA, November 1991.
  99. Sean Engelson. Perceptual integration of piloting and navigation. Proc. IEEE Symposium on Intelligent Control, pages 1026–1031, Philadelphia, PA, September 1990.

    Workshop Papers

  100. Jonathan Dunn, Jon Beltran de Heredia, Maura Burke, Lisa Gandy, Sergey Kanareykin, Oren Kapah, Matthew Taylor, Dell Hines, Ophir Frieder, David Grossman, Newton Howard, Moshe Koppel, Scott Morris, Andrew Ortony and Shlomo Argamon. Language-Independent Ensemble Approaches to Metaphor Identification. In Proc. AAAI 2014 Workshop on Cognitive Computing for Augmented Human Intelligence, Quebec City, July 2014.
  101. Shlomo Argamon and Patrick Juola. Overview of the First International Authorship Identification Competition. In Proc. PAN 2011 Lab Uncovering Plagiarism, Authorship, and Social Software Misuse, Amsterdam, September 2011.
  102. Moshe Koppel, Jonathan Schler, Shlomo Argamon, James Pennebaker. Effects of Age and Gender on Blogging. In AAAI 2006 Spring Symposium on Computational Approaches to Analysing Weblogs, Stanford, CA, March 2006.
  103. Casey Whitelaw and Shlomo Argamon. Systemic Functional Features in Stylistic Text Classification. At AAAI Fall Symposim on Style and Meaning in Language, Art, Music, and Design, Washington, DC, October 2004.
  104. Shlomo Argamon and Jeff Dodick. Conjunction and Modal Assessment in Genre Classification: A Corpus-Based Study of Historical and Experimental Science Writing. At AAAI Spring Symposium on Emotion, Attitude, and Affect in Text, Stanford, CA, March 2004.
  105. Shlomo Argamon, Marin Šarić, and Sterling S. Stein. Learning Algorithms for Multiple Authorship Discrimination At IJCAI-03 Workshop on Computational Approaches to Style Analysis and Synthesis, Acapulco, Mexico, August 2003.
  106. Shlomo Argamon-Engelson, Ido Dagan, and Yuval Krymolowsky. A Memory-Based Method for Learning to Recognize/Disambiguate Shallow Natural Language Patterns. At Bar-Ilan Workshop on Knowledge Discovery in Databases. Ramat Gan, Israel, May 1998.
  107. Shlomo Argamon-Engelson, Moshe Koppel, and Galit Avneri. Routing documents according to style. At First International Workshop on Innovative Internet Information Systems. Pisa, Italy, June 1998.
  108. Shlomo Argamon-Engelson, Moshe Koppel, and Galit Avneri. Style-based Text Categorization: Which Newspaper Am I Reading? At AAAI/ML Workshop on Text Categorization. Madison, Wisconsin, July 1998.
  109. Moshe Koppel and Sean Engelson. Integrating multiple classifiers by finding their areas of expertise. At AAAI-96 Workshop On Integrating Multiple Learned Models, August 1996.
  110. Sean Engelson, Ronen Feldman, Moshe Koppel, Anil Nerode, and Jeffrey B. Remmel. FROST: A Forward Chaining Rule Ordering System For Reasoning With Nonmonotonic Rule Systems. At IJCAI-95 Workshop On Applications and Implementations of Nonmonotonic Reasoning Systems, Montreal, Canada, August 1995.
  111. Ido Dagan and Sean Engelson. Selective sampling in natural language learning. At IJCAI-95 Workshop On New Approaches to Learning for Natural Language Processing, Montreal, Canada, August 1995.
  112. Sean Engelson. Continuous map learning for mobile robots. The 3rd French-Israeli Symposium on Robotics. Herzeliah, Israel, May 1995.
  113. Sean P. Engelson. On-line learning and error correction. At The Third Bar-Ilan Symposium on the Foundations of Artificial Intelligence. Ramat Gan, Israel, June, 1993.
  114. Sean P. Engelson and Drew V. McDermott. Maps considered as adaptive planning resources. At The AAAI Fall Symposium on Applications of Artificial Intelligence to Autonomous Mobile Robots, pages 35–44, Cambridge, MA, October 1992.

Invited Talks

  • “Computational Stylistics and Beyond,” Cognitive Science Seminar, Rensselaer Polytechnic Institute, September 2018.
  • “Prospects in Data Science,” SRM Institute of Science and Technology, Tamil Nadu, India, July 2018.
  • “Computational Cognitive Stylistics,” Keynote lecture at the First International Conference on Computational Methods & Software Engineering (CoMSE 2015), Anna University, Chennai, India, December 29, 2015.
  • “What is a Metaphor?” Keynote lecture at IAS/AISB Joint Workshop on Figurative Language: Its patterns and meanings in domain-specific discourse, Birmingham, UK, August 18, 2014.
  • “Computational Analysis of Cognitive Style,” Distinguished Lecture in Forensic Linguistics, Centre for Forensic Linguistics, Aston University, Birmingham, UK, February 26, 2014.
  • “Automated Methods in Forensic Authorship Analysis,” At Authorship Attribution Workshop, Brooklyn Law School, October 11–12, 2012.
  • “Authorship Analysis and Computational Stylistics,” At 2012 Data Sciences Summer Institute, University of Illinois at Urbana-Champaign, June 2012.
  • “Redefining Sentiment Analysis,” At Sentiment Analysis Symposium, San Francisco, November 2011.
  • “All the Men and Women: Automated Text Mining and Gender Construction in Shakespeare.” Northwestern University, October 2007.
  • “Who Wrote That? A Computational Approach to Style and Authorship.” University of Chicago, September 2006.
  • “Computational analysis of meaningful stylistic variation.” Bar-Ilan University, Haifa University, and Hebrew University, January 2005.
  • “Learning using a flawed theory.” At the Second Meeting of the Israeli Association for Artificial Intelligence, March 1999.
  • “Where am I, and where do I go from here? Map-learning for mobile robots.” At The Israeli Symposium on Artificial Intelligence and Computer Vision. Ramat Gan, Israel, December 1993.
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