2023
nBIIG: A Neural BI Insights Generation System for Table Reporting
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
AAAI, to appear, 2023
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
AAAI, to appear, 2023
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, Jo?o Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
EACL Findings, to appear, 2023
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, Jo?o Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
EACL Findings, to appear, 2023
2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
arXiv, 2022
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
arXiv, 2022
Efficient Methods for Natural Language Processing: A Survey
Marcos Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro H. Martins, Andr? F. T. Martins, Peter Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz
arXiv, 2022
Marcos Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro H. Martins, Andr? F. T. Martins, Peter Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz
arXiv, 2022
Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehia, Noam Slonim, Yoav Katz
arXiv, 2022
Leshem Choshen, Elad Venezian, Shachar Don-Yehia, Noam Slonim, Yoav Katz
arXiv, 2022
Zero-Shot Text Classification with Self-Training
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
EMNLP, 2022
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
EMNLP, 2022
Revisiting Sequential Information Bottleneck: New Implementation and Evaluation
Assaf Toledo, Elad Venezian, Noam Slonim
Entropy, 2022
Assaf Toledo, Elad Venezian, Noam Slonim
Entropy, 2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillan Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz
EMNLP, 2022
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillan Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz
EMNLP, 2022
Piloting a COVID-19 vaccine chatbot to validate usability, credibility, and intention to use
Rose Weeks, Pooja Sangha, Lyra Cooper, Jo?o Sedoc, Sydney White, Shai Gretz, Assaf Toledo, Dan Lahav, Anna-Maria Hartner, Nina M. Martin, Jae Hyoung Lee, Noam Slonim, Naor Bar-Zeev
JMIR, 2022
Rose Weeks, Pooja Sangha, Lyra Cooper, Jo?o Sedoc, Sydney White, Shai Gretz, Assaf Toledo, Dan Lahav, Anna-Maria Hartner, Nina M. Martin, Jae Hyoung Lee, Noam Slonim, Naor Bar-Zeev
JMIR, 2022
Diversity Enhanced Table-to-Text Generation via Type Control
Yotam Perlitz, Liat Ein-Dot, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
arXiv, 2022
Yotam Perlitz, Liat Ein-Dot, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
arXiv, 2022
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines
Roni Friedman, Jo?o Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim
arXiv, 2022
Roni Friedman, Jo?o Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim
arXiv, 2022
Multi-Domain Targeted Sentiment Analysis
Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
NAACL, 2022
Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
NAACL, 2022
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization
Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim
arXiv, 2022
Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim
arXiv, 2022
Fusing finetuned models for better pretraining
Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
arXiv, 2022
Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
arXiv, 2022
Cluster & Tune: Boost Cold Start Performance in Text Classification
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
ACL, 2022
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
ACL, 2022
Quality Controlled Paraphrase Generation
Elron Bandel, Ranit Aharonov, Michal Shmueli Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
ACL, 2022
Elron Bandel, Ranit Aharonov, Michal Shmueli Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
ACL, 2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
AAAI, 2022
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
AAAI, 2022
2021
Overview of the 2021 Key Point Analysis Shared Task
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
8th Workshop on Argument Mining, EMNLP, 2021
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, 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, Noam Slonim
ACL & IJCAI Tutorial, 2021
Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim
ACL & IJCAI Tutorial, 2021
Project Debater APIs: Decomposing the AI Grand Challenge
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
EMNLP, 2021
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, 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, Noam Slonim
EMNLP, 2021
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
EMNLP, 2021
Every Bite Is an Experience: Key Point Analysis of Business Reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
ACL, 2021
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
ACL, 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, Noam Slonim
EMNLP, 2020
Liat Ein-Dor*, Alon Halfon*, Ariel Gera*, Eyal Shnarch*, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, 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, Noam Slonim
EMNLP Findings, 2020
Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, 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, Noam Slonim
arXiv, 2020
Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim
arXiv, 2020
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
EMNLP, 2020
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
EMNLP, 2020
Multilingual Argument Mining: Datasets and Analysis
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
EMNLP Findings, 2020
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, 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, Ranit Aharonov
EMNLP Findings, 2020
Eyal Shnarch*, Leshem Choshen*, Guy Moshkowich, Noam Slonim, 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, Noam Slonim
ACL, 2020
Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
ACL, 2020
From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
ACL, 2020
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, 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, Noam Slonim
AAAI, 2020
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, 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, 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, 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, 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, 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, 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, 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, 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, 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, Noam Slonim
EMNLP, 2019
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, 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, Noam Slonim
EMNLP, 2019
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim
EMNLP, 2019
Controversy in Context
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
arXiv, 2019
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, 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, Noam Slonim
arXiv, 2019
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, 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, 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, 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, Noam Slonim
ACL, 2019
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, 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, Noam Slonim
ACL, 2019
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, 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, Noam Slonim
ACL, 2019
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
ACL, 2019
Syntactic Interchangeability in Word Embedding Models
Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim
3rd Workshop on Evaluating Vector Space Representations for NLP, NAACL, 2019
Daniel Hershcovich, Assaf Toledo, Alon Halfon, 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, Noam Slonim
EMNLP, 2018
Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
EMNLP, 2018
Learning Sentiment Composition from Sentiment Lexicons
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
COLING, 2018
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
COLING, 2018
Learning Concept Abstractness Using Weak Supervision
Ella RabinovichN, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
EMNLP, 2018
Ella RabinovichN, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
EMNLP, 2018
SLIDE - a Sentiment Lexicon of Common Idioms
Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim
LREC, 2018
Charles Jochim, Francesca Bonin, Roy Bar-Haim, 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, Noam Slonim
LREC, 2018
Liat Ein Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinot, Eyal Shnarch, 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, Noam Slonim
LREC, 2018
Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, 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, Noam Slonim
ACL, 2018
liat Ein Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, 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, Noam Slonim
ACL, 2018
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, 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, Noam Slonim
arXiv, 2018
Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim
arXiv, 2018
Towards an argumentative content search engine using weak supervision
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
COLING, 2018
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
COLING, 2018
2017
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization
Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
GrASP: Rich Patterns for Argumentation Mining
Eyal Shnarch, Ran Levy, Vikas Raykar, Noam Slonim
EMNLP, 2017
Eyal Shnarch, Ran Levy, Vikas Raykar, Noam Slonim
EMNLP, 2017
Stance Classification of Context-Dependent Claims
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim
EACL, 2017
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim
EACL, 2017
Unsupervised corpus-wide claim detection
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
4th Workshop on Argument Mining, EMNLP, 2017
2016
Expert Stance Graphs for Computational Argumentation
Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim
3rd Workshop on Argument Mining, ACL, 2016
Orith Toledo-Ronen, Roy Bar-Haim, 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, Ehud Aharoni
Wiki Workshop, WWW, 2016
Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, Ehud Aharoni
Wiki Workshop, WWW, 2016
2015
TR9856: A Multi-word Term Relatedness Benchmark
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim
ACL, 2015
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim
ACL, 2015
Automatic Claim Negation: Why, How and When
Yonatan Bilu, Daniel Hershcovich, Noam Slonim
2nd Workshop on Argumentation Mining, NAACL, 2015
Yonatan Bilu, Daniel Hershcovich, 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, Noam Slonim
EMNLP, 2015
Ruty Rinott, Mitesh Khapra, Carlos Alzate, Lena Dankin, Ehud Aharoni, 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, Noam Slonim
COLING, 2014
Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, 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, Noam Slonim
1st Workshop on Argumentation Mining, ACL, 2014
Ehud Aharoni*, Anatoly Polnarov*, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim
1st Workshop on Argumentation Mining, ACL, 2014
A Unified Framework for Outlier Detection in Trace Data Analysis
Li Zhiguo, R. J. Baseman, Y. Zhu, F. A. Tipu, F.A, Noam Slonim, L. Shpigelman
IEEE Transactions on Semiconductor Manufacturing. 27(1), 95 - 103, IEEE, 2014
Li Zhiguo, R. J. Baseman, Y. Zhu, F. A. Tipu, F.A, Noam Slonim, L. Shpigelman
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, Koby Crammer
IJCAI, pp. 1677-1684 , 2013
Noam Slonim, Ehud Aharoni, 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, Orya Tishby
Psychotherapy Research 23(2), 201-217, Taylor & Francis Group, 2013
Dana Atzil Slonim, Gaby Shefler, Noam Slonim, Orya Tishby
Psychotherapy Research 23(2), 201-217, Taylor & Francis Group, 2013
2012
Knowledge-Analytics Synergy in Clinical Decision Support
Noam Slonim, Boaz Carmeli, A Goldsteen, O Keller, Carmel Kent, Rury Rinott
MIE, pp. 703--707, 2012
Noam Slonim, Boaz Carmeli, A Goldsteen, O Keller, Carmel Kent, Rury Rinott
MIE, pp. 703--707, 2012
Automatic Detection of Inconsistencies between Free Text and Coded data in Sarcoma Discharge letters,
Rury Rinott, M Torresani, R Bertulli, A Goldsteen, P Casali, Boaz Carmeli, Noam Slonim
MIE, 2012
Rury Rinott, M Torresani, R Bertulli, A Goldsteen, P Casali, Boaz Carmeli, Noam Slonim
MIE, 2012
Utilizing Assigned Treatments as Labels for Supervised Machine Learning in Clinical Decision Support
Rury Rinott, Boaz Carmeli, Carmel Kent, Yonatan Maman, Yoav Rubin, Noam Slonim
IHI, pp. 493-502, 2012
Rury Rinott, Boaz Carmeli, Carmel Kent, Yonatan Maman, Yoav Rubin, Noam Slonim
IHI, pp. 493-502, 2012
2011
Active online classification via information maximization
Noam Slonim, Koby Crammer, Elad Yom-Tov
IJCAI, 2011
Noam Slonim, Koby Crammer, Elad Yom-Tov
IJCAI, 2011
Prognostic Data-Driven Clinical Decision Support - Formulation and Implications
Rury Rinott, Boaz Carmeli, Carmel Kent, D Landau, Yonatan Maman, Yoav Rubin, Noam Slonim
MIE, 2011
Rury Rinott, Boaz Carmeli, Carmel Kent, D Landau, Yonatan Maman, Yoav Rubin, Noam Slonim
MIE, 2011
2010
Data Analytics and Stochastic Modeling in a Semiconductor Fab
S Bagchi, R J Baseman, A Davenport, R Natarajan, Noam Slonim, S Weiss
Applied Stochastic Models in Business and Industry 26(1), 1--27, 2010
S Bagchi, R J Baseman, A Davenport, R Natarajan, Noam Slonim, 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
Yossi Richter, Noam Slonim, Elad Yom-Tov
SDM, 2010
Yossi Richter, Noam Slonim, Elad Yom-Tov
SDM, 2010
2009
Glucose regulates transcription in yeast through a network of signaling pathways
S Zaman, S I Lippman, L Schneper, Noam Slonim, J R Broach
Molecular Systems Biology 5(1), Nature Publishing Group, 2009
S Zaman, S I Lippman, L Schneper, Noam Slonim, J R Broach
Molecular Systems Biology 5(1), Nature Publishing Group, 2009
2007
Information bottleneck for non co-occurrence data
Yevgeni Seldin, Noam Slonim, Naftali Tishby
NIPS, 2007
Yevgeni Seldin, Noam Slonim, Naftali Tishby
NIPS, 2007
A universal framework for regulatory element discovery across all genomes and data types
Olivier Elemento, Noam Slonim, Saeed Tavazoie
Molecular cell 28(2), 337--350, Elsevier, 2007
Olivier Elemento, Noam Slonim, Saeed Tavazoie
Molecular cell 28(2), 337--350, Elsevier, 2007
2006
Multivariate Information Bottleneck.
Noam Slonim, Nir Friedman, Naftali Tishby
Neural Computation18, 1739, 2006
Noam Slonim, Nir Friedman, Naftali Tishby
Neural Computation18, 1739, 2006
Ab initio genotype--phenotype association reveals intrinsic modularity in genetic networks
Noam Slonim, Olivier Elemento, Saeed Tavazoie
Molecular Systems Biology 2(1), Nature Publishing Group, 2006
Noam Slonim, Olivier Elemento, Saeed Tavazoie
Molecular Systems Biology 2(1), Nature Publishing Group, 2006
2005
Estimating mutual information and multi--information in large networks
Noam Slonim, Gurinder Singh Atwal, Gasper Tkacik, William Bialek
Arxiv preprint cs/0502017, 2005
Noam Slonim, Gurinder Singh Atwal, Gasper Tkacik, William Bialek
Arxiv preprint cs/0502017, 2005
Information-based clustering
Noam Slonim, Gurinder Singh Atwal, Gasper Tkacik, William Bialek
Proceedings of the National Academy of Sciences (PNAS) 102(51), 18297, 2005
Noam Slonim, Gurinder Singh Atwal, Gasper Tkacik, William Bialek
Proceedings of the National Academy of Sciences (PNAS) 102(51), 18297, 2005
2003
Discriminative feature selection via multiclass variable memory Markov model
Noam Slonim, Gil Bejerano, Shai Fine, Naftali Tishby
EURASIP Journal on Applied Signal Processing2, 93--102, European Association for Speech Signal and Image Processing, 2003
Noam Slonim, Gil Bejerano, Shai Fine, Naftali Tishby
EURASIP Journal on Applied Signal Processing2, 93--102, European Association for Speech Signal and Image Processing, 2003
The information bottleneck: Theory and applications
Noam Slonim
Doctoral dissertation, Hebrew University, Jerusalem, Israel, 2003
Noam Slonim
Doctoral dissertation, Hebrew University, Jerusalem, Israel, 2003
2002
Discriminative feature selection via multiclass variable memory Markov model
Noam Slonim, Gil Bejerano, Shai Fine, Naftali Tishby
ICML, 2002
Noam Slonim, Gil Bejerano, Shai Fine, Naftali Tishby
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
Unsupervised document classification using sequential information maximization
Noam Slonim, Nir Friedman, Naftali Tishby
SIGIR, 2002
Noam Slonim, Nir Friedman, Naftali Tishby
SIGIR, 2002
2001
Agglomerative Multivariate Information Bottleneck
Noam Slonim, Naftali Friedman, Nir Tishby
NIPS, 2001
Noam Slonim, Naftali Friedman, Nir Tishby
NIPS, 2001
Multivariate information bottleneck
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
UAI, MIT Press, 2001
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
UAI, MIT Press, 2001
Analyzing neural codes using the information bottleneck method
Elad Schneidman, Noam Slonim, Naftali Tishby, Rob Steveninck deRuyter van, William Bialek
Unpublished manuscript, 2001
Elad Schneidman, Noam Slonim, Naftali Tishby, Rob Steveninck deRuyter van, William Bialek
Unpublished manuscript, 2001
Objective classification of galaxy spectra using the information bottleneck method
Noam Slonim, Rachel Somerville, Naftali Tishby, Ofer Lahav
Mon. Not. R. Astron. Soc323, 270--284, Citeseer, 2001
Noam Slonim, Rachel Somerville, Naftali Tishby, Ofer Lahav
Mon. Not. R. Astron. Soc323, 270--284, Citeseer, 2001
2000
Data clustering by Markovian relaxation and the information bottleneck method
Naftali Tishby, Noam Slonim
NIPS, 2000
Naftali Tishby, Noam Slonim
NIPS, 2000
Document clustering using word clusters via the information bottleneck method
Noam Slonim, Naftali Tishby
SIGIR, 2000
Noam Slonim, Naftali 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, Noam 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, Noam Slonim
Lecture notes in computer science, 152--171, Springer, 1999