Noam Slonim
Noam Slonim
Distinguished Engineer at IBM Research
Keine bestätigte E-Mail-Adresse - Startseite
Zitiert von
Zitiert von
Document clustering using word clusters via the information bottleneck method
N Slonim, N Tishby
Proceedings of the 23rd annual international ACM SIGIR conference on …, 2000
Agglomerative information bottleneck
N Slonim, N Tishby
Advances in neural information processing systems, 617-623, 2000
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, 2007
Unsupervised document classification using sequential information maximization
N Slonim, N Friedman, N Tishby
Proceedings of the 25th annual international ACM SIGIR conference on …, 2002
The power of word clusters for text classification
N Slonim, N Tishby
23rd European Colloquium on Information Retrieval Research 1, 200, 2001
The information bottleneck: Theory and applications
N Slonim
Hebrew University of Jerusalem, 2002
Information-based clustering
N Slonim, GS Atwal, G Tkačik, W Bialek
Proceedings of the National Academy of Sciences 102 (51), 18297-18302, 2005
Glucose regulates transcription in yeast through a network of signaling pathways
S Zaman, SI Lippman, L Schneper, N Slonim, JR Broach
Molecular systems biology 5 (1), 245, 2009
Show me your evidence-an automatic method for context dependent evidence detection
R Rinott, L Dankin, C Alzate, MM Khapra, E Aharoni, N Slonim
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
Context dependent claim detection
R Levy, Y Bilu, D Hershcovich, E Aharoni, N Slonim
Proceedings of COLING 2014, the 25th International Conference on …, 2014
Predicting customer churn in mobile networks through analysis of social groups
Y Richter, E Yom-Tov, N Slonim
Proceedings of the 2010 SIAM international conference on data mining, 732-741, 2010
Data clustering by markovian relaxation and the information bottleneck method
N Tishby, N Slonim
Advances in neural information processing systems 13, 2000
Multivariate information bottleneck
N Friedman, O Mosenzon, N Slonim, N Tishby
arXiv preprint arXiv:1301.2270, 2013
Stance classification of context-dependent claims
R Bar-Haim, I Bhattacharya, F Dinuzzo, A Saha, N Slonim
Proceedings of the 15th Conference of the European Chapter of the …, 2017
A benchmark dataset for automatic detection of claims and evidence in the context of controversial topics
E Aharoni, A Polnarov, T Lavee, D Hershcovich, R Levy, R Rinott, ...
Proceedings of the first workshop on argumentation mining, 64-68, 2014
Method and system for evaluating a machine tool operating characteristics
E Aharoni, RJ Baseman, R Kei, O Margalit, K Mackey, M Rosen-Zvi, ...
US Patent 8,285,414, 2012
Active learning for BERT: an empirical study
LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
An autonomous debating system
N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ...
Nature 591 (7850), 379-384, 2021
Multivariate information bottleneck
N Slonim, N Friedman, N Tishby
Neural computation 18 (8), 1739-1789, 2006
A large-scale dataset for argument quality ranking: Construction and analysis
S Gretz, R Friedman, E Cohen-Karlik, A Toledo, D Lahav, R Aharonov, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7805-7813, 2020
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