Noam Slonim  Noam Slonim photo         

contact information

Distinguished Engineer
IBM HRL
  

links



2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, and Noam Slonim
AAAI, to appear, 2022


2021

Overview of the 2021 Key Point Analysis Shared Task
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, and Noam Slonim
8th Workshop on Argument Mining, EMNLP, 2021

Advances in Debating Technologies: Building AI That Can Debate Humans
Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, and Noam Slonim
ACL & IJCAI Tutorial, 2021

Project Debater APIs: Decomposing the AI Grand Challenge
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, and Noam Slonim
EMNLP, 2021

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, and Noam Slonim
EMNLP, 2021

Every Bite Is an Experience: Key Point Analysis of Business Reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, and Noam Slonim
ACL, 2021

An autonomous debating system
Noam Slonim, Yonatan Bilu ... and Ranit Aharonov
Nature, 2021


2020

Active Learning for BERT: An Empirical Study
Liat Ein-Dor*, Alon Halfon*, Ariel Gera*, Eyal Shnarch*, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, and Noam Slonim
EMNLP, 2020

The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation
Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, and Noam Slonim
EMNLP Findings, 2020

What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
Yonatan Bilu, Shai Gretz, Edo Cohen, and Noam Slonim
Technical Report, 2020

Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, and Noam Slonim
EMNLP, 2020

Multilingual Argument Mining: Datasets and Analysis
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, and Noam Slonim
EMNLP Findings, 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Eyal Shnarch*, Leshem Choshen*, Guy Moshkowich, Noam Slonim, and Ranit Aharonov
EMNLP Findings, 2020

Out of the Echo Chamber: Detecting Countering Debate Speeches
Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov and Noam Slonim
ACL, 2020

From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav and Noam Slonim
ACL, 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

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


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

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

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

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

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

Controversy in Context
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

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

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

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

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

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


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

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

Learning Concept Abstractness Using Weak Supervision
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

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

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

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

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

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

Towards an argumentative content search engine using weak supervision
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

GrASP: Rich Patterns for Argumentation Mining
Eyal Shnarch, Ran Levy, Vikas Raykar, and Noam Slonim
EMNLP, 2017

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
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, WWW, 2016


2015

TR9856: A Multi-word Term Relatedness Benchmark
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

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


2014


Context Dependent Claim Detection
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

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
IJCAI, pp. 1677-1684 , 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
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
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
IHI, pp. 493-502, 2012


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
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
SDM, 2010


2009

Parallel Pairwise Clustering
E Yom-Tov, N Slonim
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


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


Locating transcription factors binding sites using a variable memory Markov model
Yonatan Bilu, Michal Linial, Noam Slonim, Naftali Tishby
Leibintz Center TR 200257

Maximum likelihood and the information bottleneck
N Slonim, Y Weiss
NIPS, 2002

Unsupervised document classification using sequential information maximization
N Slonim, N Friedman, N Tishby
SIGIR, 2002


2001

Agglomerative Multivariate Information Bottleneck
N Slonim, N Friedman, N Tishby
NIPS, 2001

Multivariate information bottleneck
N Friedman, O Mosenzon, N Slonim, N Tishby
UAI, 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
ECIR, 2001


2000

Data clustering by Markovian relaxation and the information bottleneck method
N Tishby, N Slonim
NIPS, 2000

Document clustering using word clusters via the information bottleneck method
N Slonim, N Tishby
SIGIR, 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
NIPS, 1999