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Jonathan Schler
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2020 – today
- 2024
- [c24]Idan Toker, David Sarne, Jonathan Schler:
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process. AAAI 2024: 10172-10179 - 2023
- [j11]Avital Zadok, Maayan Zhitomirsky-Geffet, Jonathan Schler, Binyamin Katzoff:
Comparative network analysis as a new approach to the editorship profiling task: A case study of the Mishnah and Tosefta from Rabbinic literature. Digit. Scholarsh. Humanit. 38(4): 1720-1739 (2023) - 2020
- [c23]Jonathan Schler, Elisheva Bonchek-Dokow, Tomer Vainstein, Moshe Gotam, Mike Teplitsky:
Profiling Astroturfing Facebook Users During Three Contiguous Israeli Election Periods. IEEE BigData 2020: 4331-4340 - [c22]Jonathan Schler, Elisheva Bonchek-Dokow:
Utilizing Natural Honeypots for Efficiently Labeling Astroturfer Profiles. EKAW (Posters & Demos) 2020: 41-45 - [c21]Jonathan Schler, Allon Hammer:
Calibrated Viewability Prediction for Premium Inventory Expansion. SIMBig 2020: 403-418
2010 – 2019
- 2019
- [j10]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
An Algorithmic Scheme for Statistical Thesaurus Construction in a Morphologically Rich Language. Appl. Artif. Intell. 33(6): 483-496 (2019) - [c20]David Sarne, Jonathan Schler, Alon Singer, Ayelet Sela, Ittai Bar Siman Tov:
Unsupervised Topic Extraction from Privacy Policies. WWW (Companion Volume) 2019: 563-568 - 2018
- [c19]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Automatic Thesaurus Construction for Modern Hebrew. LREC 2018 - 2017
- [c18]Kate Niederhoffer, Jonathan Schler, Patrick Crutchley, Kate Loveys, Glen Coppersmith:
In your wildest dreams: the language and psychological features of dreams. CLPsych@ACL 2017: 13-25 - [c17]Michael Fire, Jonathan Schler:
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. iThings/GreenCom/CPSCom/SmartData 2017: 1053-1060 - 2016
- [j9]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Semiautomatic Construction of Cross-Period Thesaurus. ACM Journal on Computing and Cultural Heritage 9(4): 22:1-22:26 (2016) - 2015
- [i1]Michael Fire, Jonathan Schler:
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. CoRR abs/1509.00568 (2015) - 2013
- [j8]Hadas Zohar, Chaya Liebeskind, Jonathan Schler, Ido Dagan:
Automatic thesaurus construction for cross generation corpus. ACM Journal on Computing and Cultural Heritage 6(1): 4:1-4:19 (2013) - [c16]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Semi-automatic Construction of Cross-period Thesaurus. LaTeCH@ACL 2013: 29-35 - 2012
- [c15]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Statistical Thesaurus Construction for a Morphologically Rich Language. *SEM@NAACL-HLT 2012: 59-64 - 2011
- [j7]Moshe Koppel, Jonathan Schler, Shlomo Argamon:
Authorship attribution in the wild. Lang. Resour. Evaluation 45(1): 83-94 (2011)
2000 – 2009
- 2009
- [j6]Shlomo Argamon, Moshe Koppel, James W. Pennebaker, Jonathan Schler:
Automatically profiling the author of an anonymous text. Commun. ACM 52(2): 119-123 (2009) - [j5]Moshe Koppel, Jonathan Schler, Shlomo Argamon:
Computational methods in authorship attribution. J. Assoc. Inf. Sci. Technol. 60(1): 9-26 (2009) - 2008
- [c14]Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jonathan Schler:
Mining and Visualizing Online Web Content Using BAM: Brand Association Map. ICWSM 2008 - 2007
- [j4]Shlomo Argamon, Moshe Koppel, James W. Pennebaker, Jonathan Schler:
Mining the Blogosphere: Age, gender and the varieties of self-expression. First Monday 12(9) (2007) - [j3]Moshe Koppel, Jonathan Schler, Elisheva Bonchek-Dokow:
Measuring Differentiability: Unmasking Pseudonymous Authors. J. Mach. Learn. Res. 8: 1261-1276 (2007) - 2006
- [j2]Moshe Koppel, Jonathan Schler:
The Importance of Neutral Examples for Learning Sentiment. Comput. Intell. 22(2): 100-109 (2006) - [j1]Yonatan Aumann, Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Jonathan Schler:
Visual information extraction. Knowl. Inf. Syst. 10(1): 1-15 (2006) - [c13]Jonathan Schler, Moshe Koppel, Shlomo Argamon, James W. Pennebaker:
Effects of Age and Gender on Blogging. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 199-205 - [c12]Moshe Koppel, Jonathan Schler, Shlomo Argamon, Eran Messeri:
Authorship attribution with thousands of candidate authors. SIGIR 2006: 659-660 - 2005
- [c11]Moshe Koppel, Jonathan Schler:
Using Neutral Examples for Learning Polarity. IJCAI 2005: 1616-1617 - [c10]Moshe Koppel, Jonathan Schler, Kfir Zigdon:
Automatically Determining an Anonymous Author's Native Language. ISI 2005: 209-217 - [c9]Moshe Koppel, Jonathan Schler, Kfir Zigdon:
Determining an author's native language by mining a text for errors. KDD 2005: 624-628 - 2004
- [c8]Binyamin Rosenfeld, Ronen Feldman, Moshe Fresko, Jonathan Schler, Yonatan Aumann:
TEG: a hybrid approach to information extraction. CIKM 2004: 589-596 - [c7]Moshe Koppel, Jonathan Schler:
Authorship verification as a one-class classification problem. ICML 2004 - 2001
- [c6]Ronen Feldman, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Yonatan Schler, Binyamin Rosenfeld:
A Domain Independent Environment for Creating Information Extraction Modules. CIKM 2001: 586-588 - 2000
- [c5]Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Yonatan Schler, Jonathan Stoppi:
A framework for specifying explicit bias for revision of approximate information extraction rules. KDD 2000: 189-197
1990 – 1999
- 1999
- [c4]Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler:
Text Mining via Information Extraction. PKDD 1999: 165-173 - [c3]Yonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Yonatan Schler:
Circle Graphs: New Visualization Tools for Text-Mining. PKDD 1999: 277-282 - 1998
- [c2]Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, Martin Rajman:
Knowledge Management: A Text Mining Approach. PAKM 1998 - [c1]Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda Lindell, Orly Liphstat, Martin Rajman, Yonatan Schler, Oren Zamir:
Text Mining at the Term Level. PKDD 1998: 65-73
Coauthor Index
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last updated on 2024-04-29 20:32 CEST by the dblp team
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