Noam Slonim  Noam Slonim photo       

contact information

Senior Technical Staff Member
IBM HRL

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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

GrASP: Rich Patterns for Argumentation Mining
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

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


2016

Claim Synthesis via Predicate Recycling
Yonatan Bilu and Noam Slonim
Proceedings of the 54 Annual Meeting of the Association for Computational Linguistics (ACL), 2016

Expert Stance Graphs for Computational Argumentation
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 at World Wide Web conference (WWW) , 2016


2015

TR9856: A Multi-word Term Relatedness Benchmark
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, , pp. 419--424, 2015

Automatic Claim Negation: Why, How and When
Yonatan Bilu, Daniel Hershcovich, and Noam Slonim
Proceedings of the second 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
Proceedings of the 15-th conference on Empirical Methods in NLP (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
Proceedings of the 25th International Conference on Computational Linguistics, (COLING, Demo track) , 2014

Context Dependent Claim Detection
Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni and Noam Slonim
Proceedings of the 25th International Conference on Computational Linguistics, (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
Proceedings of the First Workshop on Argumentation Mining, ACL, pp. 64--68, Association for Computational Linguistics, 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


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

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


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

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

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


2011

Active online classification via information maximization
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


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

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


2009

Parallel Pairwise Clustering
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


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

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


2006

Multivariate Information Bottleneck.
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


2005

Estimating mutual information and multi--information in large networks
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


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

The information bottleneck: Theory and applications
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


Maximum likelihood and the information bottleneck
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


2001

Agglomerative Multivariate Information Bottleneck
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

Analyzing neural codes using the information bottleneck method
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

The power of word clusters for text classification
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

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


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

Agglomerative information bottleneck
N Slonim, N Tishby
Advances in Neural Information Processing Systems (NIPS-12)12, 617--23, 1999