2020
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, and Noam Slonim
AAAI, 2020
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, and Noam Slonim
AAAI, 2020
Corpus Wide Argument Mining - a Working Solution
Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
AAAI, 2020
Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
AAAI, 2020
2019
Financial Event Extraction Using Wikipedia-Based Weak Supervision
Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, and Noam Slonim
2nd Workshop on Economics and Natural Language Processing (ECONLP), EMNLP, 2019
Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, and Noam Slonim
2nd Workshop on Economics and Natural Language Processing (ECONLP), EMNLP, 2019
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation
Tamar Lavee, Lili Kotlerman, Matan Orbach, Yonatan Bilu, Michal Jacovi, Ranit Aharonov, and Noam Slonim
Workshop on Aggregating and analysing crowdsourced annotations for NLP (AnnoNLP), EMNLP, 2019
Tamar Lavee, Lili Kotlerman, Matan Orbach, Yonatan Bilu, Michal Jacovi, Ranit Aharonov, and Noam Slonim
Workshop on Aggregating and analysing crowdsourced annotations for NLP (AnnoNLP), EMNLP, 2019
Learning to combine Grammatical Error Corrections
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, and Noam Slonim
14th Workshop on Innovative Use of NLP for Building Educational Applications, ACL, 2019
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, and Noam Slonim
14th Workshop on Innovative Use of NLP for Building Educational Applications, ACL, 2019
Automatic Argument Quality Assessment -- New Datasets and Methods
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, and Noam Slonim
EMNLP, 2019
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, and Noam Slonim
EMNLP, 2019
A Dataset of General-Purpose Rebuttal
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, and Noam Slonim
EMNLP, 2019
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, and Noam Slonim
EMNLP, 2019
Controversy in Context
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, and Noam Slonim
arXiv, 2019
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, and Noam Slonim
arXiv, 2019
Fast End-to-End Wikification
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, and Noam Slonim
arXiv, 2019
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, and Noam Slonim
arXiv, 2019
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining
Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
6th Workshop on Argument Mining, ACL, 2019
Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
6th Workshop on Argument Mining, ACL, 2019
Argument Invention from First Principles
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, and Noam Slonim
ACL, 2019
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, and Noam Slonim
ACL, 2019
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, and Noam Slonim
ACL, 2019
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, and Noam Slonim
ACL, 2019
Are You Convinced? Choosing the more Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, and Noam Slonim
ACL, 2019
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, and Noam Slonim
ACL, 2019
Syntactic Interchangeability in Word Embedding Models
Daniel Hershcovich, Assaf Toledo, Alon Halfon, and Noam Slonim
3rd Workshop on Evaluating Vector Space Representations for NLP, NAACL, 2019
Daniel Hershcovich, Assaf Toledo, Alon Halfon, and Noam Slonim
3rd Workshop on Evaluating Vector Space Representations for NLP, NAACL, 2019
2018
Listening Comprehension over Argumentative Content
Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
EMNLP, 2018
Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim
EMNLP, 2018
Learning Sentiment Composition from Sentiment Lexicons
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, and Noam Slonim
COLING, 2018
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, and Noam Slonim
COLING, 2018
Learning Concept Abstractness Using Weak Supervision
Ella RabinovichN, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, and Noam Slonim
EMNLP, 2018
Ella RabinovichN, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, and Noam Slonim
EMNLP, 2018
SLIDE - a Sentiment Lexicon of Common Idioms
Charles Jochim, Francesca Bonin, Roy Bar-Haim, and Noam Slonim
LREC, 2018
Charles Jochim, Francesca Bonin, Roy Bar-Haim, and Noam Slonim
LREC, 2018
Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution
Liat Ein Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinot, Eyal Shnarch, and Noam Slonim
LREC, 2018
Liat Ein Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinot, Eyal Shnarch, and Noam Slonim
LREC, 2018
A Recorded Debating Dataset
Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, and Noam Slonim
LREC, 2018
Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, and Noam Slonim
LREC, 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
liat Ein Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, and Noam Slonim
ACL, 2018
liat Ein Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, and Noam Slonim
ACL, 2018
Will it Blend? Weak and Manual Labeled Data in a Neural Network for Argumentation Mining
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, and Noam Slonim
ACL, 2018
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, and Noam Slonim
ACL, 2018
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, and Noam Slonim
arXiv, 2018
Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, and Noam Slonim
arXiv, 2018
Towards an argumentative content search engine using weak supervision
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, and Noam Slonim
COLING, 2018
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, and Noam Slonim
COLING, 2018
2017
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization
Roy Bar-Haim, Lilach Edelstein, Charles Jochim, and Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
Roy Bar-Haim, Lilach Edelstein, Charles Jochim, and Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
GrASP: Rich Patterns for Argumentation Mining
Eyal Shnarch, Ran Levy, Vikas Raykar, and Noam Slonim
EMNLP, 2017
Abstract
Eyal Shnarch, Ran Levy, Vikas Raykar, and Noam Slonim
EMNLP, 2017
Abstract
Stance Classification of Context-Dependent Claims
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, and Noam Slonim
EACL, 2017
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, and Noam Slonim
EACL, 2017
Unsupervised corpus-wide claim detection
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, and Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, and Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
2016
Expert Stance Graphs for Computational Argumentation
Orith Toledo-Ronen, Roy Bar-Haim, and Noam Slonim
3rd Workshop on Argument Mining, ACL, 2016
Orith Toledo-Ronen, Roy Bar-Haim, and Noam Slonim
3rd Workshop on Argument Mining, ACL, 2016
On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics
Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, and Ehud Aharoni
Wiki Workshop, WWW, 2016
Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, and Ehud Aharoni
Wiki Workshop, WWW, 2016
2015
TR9856: A Multi-word Term Relatedness Benchmark
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, and Noam Slonim
ACL, 2015
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, and Noam Slonim
ACL, 2015
Automatic Claim Negation: Why, How and When
Yonatan Bilu, Daniel Hershcovich, and Noam Slonim
2nd Workshop on Argumentation Mining, NAACL, 2015
Yonatan Bilu, Daniel Hershcovich, and Noam Slonim
2nd Workshop on Argumentation Mining, NAACL, 2015
Show Me Your Evidence -- an Automatic Method for Context Dependent Evidence Detection
Ruty Rinott, Mitesh Khapra, Carlos Alzate, Lena Dankin, Ehud Aharoni, and Noam Slonim
EMNLP, 2015
Ruty Rinott, Mitesh Khapra, Carlos Alzate, Lena Dankin, Ehud Aharoni, and Noam Slonim
EMNLP, 2015
2014
Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora
Ehud Aharoni et. al
COLING, Demo track , 2014
Ehud Aharoni et. al
COLING, Demo track , 2014
Context Dependent Claim Detection
Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni and Noam Slonim
COLING, 2014
Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni and Noam Slonim
COLING, 2014
A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics
Ehud Aharoni*, Anatoly Polnarov*, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, and Noam Slonim
1st Workshop on Argumentation Mining, ACL, 2014
Ehud Aharoni*, Anatoly Polnarov*, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, and Noam Slonim
1st Workshop on Argumentation Mining, ACL, 2014
A Unified Framework for Outlier Detection in Trace Data Analysis
Zhiguo Li, Baseman, R.J. ; Zhu, Y. ; Tipu, F.A. ; Slonim, N. ; Shpigelman, L.
IEEE Transactions on Semiconductor Manufacturing. 27(1), 95 - 103, IEEE, 2014
Zhiguo Li, Baseman, R.J. ; Zhu, Y. ; Tipu, F.A. ; Slonim, N. ; Shpigelman, L.
IEEE Transactions on Semiconductor Manufacturing. 27(1), 95 - 103, IEEE, 2014
2013
Hartigan's K-means versus Lloyd's K-means: is it time for a change?
Noam Slonim, Ehud Aharoni, and Koby Crammer
Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (IJCAI), pp. 1677-1684 , AAAI Press, 2013
Noam Slonim, Ehud Aharoni, and Koby Crammer
Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (IJCAI), pp. 1677-1684 , AAAI Press, 2013
Adolescents in psychodynamic psychotherapy: Changes in internal representations of relationships with parents
Dana Atzil Slonim, Gaby Shefler, Noam Slonim, and Orya Tishby
Psychotherapy Research 23(2), 201-217, Taylor & Francis Group, 2013
Dana Atzil Slonim, Gaby Shefler, Noam Slonim, and Orya Tishby
Psychotherapy Research 23(2), 201-217, Taylor & Francis Group, 2013
2012
Knowledge-Analytics Synergy in Clinical Decision Support
N Slonim, B Carmeli, A Goldsteen, O Keller, C Kent, and R Rinott
24th International Conference of the European Federation for Medical Informatics (MIE), pp. 703--707, 2012
N Slonim, B Carmeli, A Goldsteen, O Keller, C Kent, and R Rinott
24th International Conference of the European Federation for Medical Informatics (MIE), pp. 703--707, 2012
Automatic Detection of Inconsistencies between Free Text and Coded data in Sarcoma Discharge letters,
R Rinott, M Torresani, R Bertulli, A Goldsteen, P Casali, B Carmeli and N Slonim
24th International Conference of the European Federation for Medical Informatics (MIE), 2012
R Rinott, M Torresani, R Bertulli, A Goldsteen, P Casali, B Carmeli and N Slonim
24th International Conference of the European Federation for Medical Informatics (MIE), 2012
Utilizing Assigned Treatments as Labels for Supervised Machine Learning in Clinical Decision Support
R Rinott, B Carmeli, C Kent, Y Maman, Y Rubin, and N Slonim
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), pp. 493-502, ACM
R Rinott, B Carmeli, C Kent, Y Maman, Y Rubin, and N Slonim
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), pp. 493-502, ACM
2011
Active online classification via information maximization
N Slonim, K Crammer, and E Yom-Tov
22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011
N Slonim, K Crammer, and E Yom-Tov
22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011
Prognostic Data-Driven Clinical Decision Support - Formulation and Implications
R Rinott, B Carmeli, C Kent, D Landau, Y Maman, Y Rubin, and N Slonim
23rd International Conference of the European Federation for Medical Informatics (MIE), 2011
R Rinott, B Carmeli, C Kent, D Landau, Y Maman, Y Rubin, and N Slonim
23rd International Conference of the European Federation for Medical Informatics (MIE), 2011
2010
Data Analytics and Stochastic Modeling in a Semiconductor Fab
S Bagchi, R J Baseman, A Davenport, R Natarajan, N Slonim, and S Weiss
Applied Stochastic Models in Business and Industry 26(1), 1--27, 2010
S Bagchi, R J Baseman, A Davenport, R Natarajan, N Slonim, and S Weiss
Applied Stochastic Models in Business and Industry 26(1), 1--27, 2010
Predicting customer churn in mobile networks through analysis of social groups
Y Richter, N Slonim, and E Yom-Tov
SIAM International Conference on Data Mining (SDM), 2010
Y Richter, N Slonim, and E Yom-Tov
SIAM International Conference on Data Mining (SDM), 2010
2009
Parallel Pairwise Clustering
E Yom-Tov, N Slonim
SIAM International Conference on Data Mining (SDM), 2009
E Yom-Tov, N Slonim
SIAM International Conference on Data Mining (SDM), 2009
Glucose regulates transcription in yeast through a network of signaling pathways
S Zaman, S I Lippman, L Schneper, N Slonim, J R Broach
Molecular Systems Biology 5(1), Nature Publishing Group, 2009
S Zaman, S I Lippman, L Schneper, N Slonim, J R Broach
Molecular Systems Biology 5(1), Nature Publishing Group, 2009
2007
Information bottleneck for non co-occurrence data
Y Seldin, N Slonim, N Tishby
Advances in Neural Information Processing Systems (NIPS-19)19, 1241, Citeseer, 2007
Y Seldin, N Slonim, N Tishby
Advances in Neural Information Processing Systems (NIPS-19)19, 1241, Citeseer, 2007
A universal framework for regulatory element discovery across all genomes and data types
O Elemento, N Slonim, S Tavazoie
Molecular cell 28(2), 337--350, Elsevier, 2007
O Elemento, N Slonim, S Tavazoie
Molecular cell 28(2), 337--350, Elsevier, 2007
2006
Multivariate Information Bottleneck.
Noam Slonim, Nir Friedman, and Naftali Tishby
Neural Computation18, 1739, 2006
Noam Slonim, Nir Friedman, and Naftali Tishby
Neural Computation18, 1739, 2006
Ab initio genotype--phenotype association reveals intrinsic modularity in genetic networks
N Slonim, O Elemento, S Tavazoie
Molecular Systems Biology 2(1), Nature Publishing Group, 2006
N Slonim, O Elemento, S Tavazoie
Molecular Systems Biology 2(1), Nature Publishing Group, 2006
2005
Estimating mutual information and multi--information in large networks
N Slonim, G S Atwal, G Tkacik, W Bialek
Arxiv preprint cs/0502017, 2005
N Slonim, G S Atwal, G Tkacik, W Bialek
Arxiv preprint cs/0502017, 2005
Information-based clustering
N Slonim, G S Atwal, G Tkacik, W Bialek
Proceedings of the National Academy of Sciences (PNAS) 102(51), 18297, 2005
N Slonim, G S Atwal, G Tkacik, W Bialek
Proceedings of the National Academy of Sciences (PNAS) 102(51), 18297, 2005
2003
Discriminative feature selection via multiclass variable memory Markov model
N Slonim, G Bejerano, S Fine, N Tishby
EURASIP Journal on Applied Signal Processing2, 93--102, European Association for Speech Signal and Image Processing, 2003
N Slonim, G Bejerano, S Fine, N Tishby
EURASIP Journal on Applied Signal Processing2, 93--102, European Association for Speech Signal and Image Processing, 2003
The information bottleneck: Theory and applications
N Slonim
Doctoral dissertation, Hebrew University, Jerusalem, Israel, 2003
N Slonim
Doctoral dissertation, Hebrew University, Jerusalem, Israel, 2003
2002
Discriminative feature selection via multiclass variable memory Markov model
N Slonim, G Bejerano, S Fine, N Tishby
19th International Conference on Machine Learning (ICML), 2002
N Slonim, G Bejerano, S Fine, N Tishby
19th International Conference on Machine Learning (ICML), 2002
Locating transcription factors binding sites using a variable memory Markov model
Yonatan Bilu, Michal Linial, Noam Slonim, Naftali Tishby
Leibintz Center TR 200257
Yonatan Bilu, Michal Linial, Noam Slonim, Naftali Tishby
Leibintz Center TR 200257
Maximum likelihood and the information bottleneck
N Slonim, Y Weiss
Advances in Neural Information Processing Systems (NIPS-15), 351--358, 2002
N Slonim, Y Weiss
Advances in Neural Information Processing Systems (NIPS-15), 351--358, 2002
Unsupervised document classification using sequential information maximization
N Slonim, N Friedman, N Tishby
Proceedings of the 25th conference on Research and development in information retrieval (SIGIR), pp. 129--136, 2002
N Slonim, N Friedman, N Tishby
Proceedings of the 25th conference on Research and development in information retrieval (SIGIR), pp. 129--136, 2002
2001
Agglomerative Multivariate Information Bottleneck
N Slonim, N Friedman, N Tishby
Advances in Neural Information Processing Systems (NIPS-14), pp. 929, 2001
N Slonim, N Friedman, N Tishby
Advances in Neural Information Processing Systems (NIPS-14), pp. 929, 2001
Multivariate information bottleneck
N Friedman, O Mosenzon, N Slonim, N Tishby
Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI), pp. 152--161, MIT Press, 2001
N Friedman, O Mosenzon, N Slonim, N Tishby
Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI), pp. 152--161, MIT Press, 2001
Analyzing neural codes using the information bottleneck method
E Schneidman, N Slonim, N Tishby, R Steveninck deRuyter van, W Bialek
Unpublished manuscript, 2001
E Schneidman, N Slonim, N Tishby, R Steveninck deRuyter van, W Bialek
Unpublished manuscript, 2001
Objective classification of galaxy spectra using the information bottleneck method
N Slonim, R Somerville, N Tishby, O Lahav
Mon. Not. R. Astron. Soc323, 270--284, Citeseer, 2001
N Slonim, R Somerville, N Tishby, O Lahav
Mon. Not. R. Astron. Soc323, 270--284, Citeseer, 2001
The power of word clusters for text classification
N Slonim, N Tishby
Proceedings of ECIR-01, 23rd European Colloquium on Information Retrieval Research, 2001
N Slonim, N Tishby
Proceedings of ECIR-01, 23rd European Colloquium on Information Retrieval Research, 2001
2000
Data clustering by Markovian relaxation and the information bottleneck method
N Tishby, N Slonim
Advances in Neural Information Processing Systems (NIPS-13), 640--646, Citeseer, 2000
N Tishby, N Slonim
Advances in Neural Information Processing Systems (NIPS-13), 640--646, Citeseer, 2000
Document clustering using word clusters via the information bottleneck method
N Slonim, N Tishby
Proceedings of the 23rd conference on Research and development in information retrieval (SIGIR), pp. 208--215, 2000
N Slonim, N Tishby
Proceedings of the 23rd conference on Research and development in information retrieval (SIGIR), pp. 208--215, 2000
1999
Websuite-a tool suite for harnessing web data
C Beeri, G Elber, T Milo, Y Sagiv, O Shmueli, N Tishby, Y Kogan, D Konopnicki, P Mogilevski, N Slonim
Lecture notes in computer science, 152--171, Springer, 1999
C Beeri, G Elber, T Milo, Y Sagiv, O Shmueli, N Tishby, Y Kogan, D Konopnicki, P Mogilevski, N Slonim
Lecture notes in computer science, 152--171, Springer, 1999
Agglomerative information bottleneck
N Slonim, N Tishby
Advances in Neural Information Processing Systems (NIPS-12)12, 617--23, 1999
N Slonim, N Tishby
Advances in Neural Information Processing Systems (NIPS-12)12, 617--23, 1999