Noam Slonim

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 103

Top Venues

Publications

Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR (2024)
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
Efficient Benchmarking (of Language Models). NAACL-HLT (2024)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. EMNLP (2023)
Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
Knowledge is a Region in Weight Space for Fine-tuned Language Models. CoRR (2023)
Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor
Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) (2023)
Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) (2023)
Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11 (2023)
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. EACL (Findings) (2023)
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
Efficient Benchmarking (of Language Models). CoRR (2023)
Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
Knowledge is a Region in Weight Space for Fine-tuned Language Models. EMNLP (Findings) (2023)
Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR (2023)
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
nBIIG: A Neural BI Insights Generation System for Table Reporting. AAAI (2023)
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
Active Learning for Natural Language Generation. CoRR (2023)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) (2023)
Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, Roy Bar-Haim
Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. EMNLP (Industry Track) (2023)
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
Active Learning for Natural Language Generation. EMNLP (2023)
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
nBIIG: A Neural BI Insights Generation System for Table Reporting. CoRR (2022)
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. AAAI (2022)
Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
Multi-Domain Targeted Sentiment Analysis. NAACL-HLT (2022)
Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
Multi-Domain Targeted Sentiment Analysis. CoRR (2022)
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
Cluster & Tune: Boost Cold Start Performance in Text Classification. ACL (1) (2022)
Noam Slonim
Project Debater - an autonomous debating system. ISAIM (2022)
Assaf Toledo, Elad Venezian, Noam Slonim
Revisiting Sequential Information Bottleneck: New Implementation and Evaluation. Entropy 24 (8) (2022)
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
Zero-Shot Text Classification with Self-Training. CoRR (2022)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR (2022)
Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
Diversity Enhanced Table-to-Text Generation via Type Control. CoRR (2022)
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. CoRR (2022)
Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor
SimpleStyle: An Adaptable Style Transfer Approach. CoRR (2022)
Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz
Efficient Methods for Natural Language Processing: A Survey. CoRR (2022)
Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
Fusing finetuned models for better pretraining. CoRR (2022)
Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. CoRR (2022)
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
Zero-Shot Text Classification with Self-Training. EMNLP (2022)
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillán 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
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR (2022)
Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
Quality Controlled Paraphrase Generation. CoRR (2022)
Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
Quality Controlled Paraphrase Generation. ACL (1) (2022)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. CoRR (2022)
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. CoRR (2022)
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
Cluster & Tune: Boost Cold Start Performance in Text Classification. CoRR (2022)
Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. CoRR (2022)
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
Every Bite Is an Experience: Key Point Analysis of Business Reviews. ACL/IJCNLP (1) (2021)
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
Every Bite Is an Experience: Key Point Analysis of Business Reviews. CoRR (2021)
Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov
An autonomous debating system. Nat. 591 (7850) (2021)
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
Overview of the 2021 Key Point Analysis Shared Task. ArgMining@EMNLP (2021)
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
Project Debater APIs: Decomposing the AI Grand Challenge. EMNLP (Demos) (2021)
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
Overview of the 2021 Key Point Analysis Shared Task. CoRR (2021)
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. EMNLP (1) (2021)
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
Project Debater APIs: Decomposing the AI Grand Challenge. CoRR (2021)
Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus. CoRR (2020)
Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim
Active Learning for BERT: An Empirical Study. EMNLP (1) (2020)
Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. CoRR (2020)
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. CoRR (2020)
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
Multilingual Argument Mining: Datasets and Analysis. CoRR (2020)
Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
Out of the Echo Chamber: Detecting Countering Debate Speeches. ACL (2020)
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
From Arguments to Key Points: Towards Automatic Argument Summarization. ACL (2020)
Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
Out of the Echo Chamber: Detecting Countering Debate Speeches. CoRR (2020)
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. EMNLP (Findings) (2020)
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. AAAI (2020)
Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. EMNLP (Findings) (2020)
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis. CoRR (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
Corpus Wide Argument Mining - A Working Solution. AAAI (2020)
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
Multilingual Argument Mining: Datasets and Analysis. EMNLP (Findings) (2020)
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
From Arguments to Key Points: Towards Automatic Argument Summarization. CoRR (2020)
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
YASO: A New Benchmark for Targeted Sentiment Analysis. CoRR (2020)
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
Quantitative argument summarization and beyond: Cross-domain key point analysis. EMNLP (1) (2020)
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim
A Dataset of General-Purpose Rebuttal. EMNLP/IJCNLP (1) (2019)
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. ACL (1) (2019)
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
Argument Invention from First Principles. CoRR (2019)
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
Learning to combine Grammatical Error Corrections. CoRR (2019)
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim
A Dataset of General-Purpose Rebuttal. CoRR (2019)
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
Argument Invention from First Principles. ACL (1) (2019)
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. ACL (1) (2019)
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim
Fast End-to-End Wikification. CoRR (2019)
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. CoRR (2019)
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
Corpus Wide Argument Mining - a Working Solution. CoRR (2019)
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
Automatic Argument Quality Assessment - New Datasets and Methods. CoRR (2019)
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis. CoRR (2019)
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
Automatic Argument Quality Assessment - New Datasets and Methods. EMNLP/IJCNLP (1) (2019)
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
Learning to combine Grammatical Error Corrections. BEA@ACL (2019)
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
Controversy in Context. CoRR (2019)
Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim
Syntactic Interchangeability in Word Embedding Models. CoRR (2019)
Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. ArgMining@ACL (2019)
Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. CoRR (2019)
Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim
SLIDE - a Sentiment Lexicon of Common Idioms. LREC (2018)
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
Towards an argumentative content search engine using weak supervision. COLING (2018)
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
Learning Sentiment Composition from Sentiment Lexicons. COLING (2018)
Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
Listening Comprehension over Argumentative Content. EMNLP (2018)
Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
Learning Concept Abstractness Using Weak Supervision. EMNLP (2018)
Noam Slonim
Project Debater. COMMA (2018)
Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim
Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. LREC (2018)
Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
Learning Concept Abstractness Using Weak Supervision. CoRR (2018)
Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text. CoRR (2018)
Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks. ACL (2) (2018)
Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim
A Recorded Debating Dataset. LREC (2018)
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. ACL (2) (2018)
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim
Stance Classification of Context-Dependent Claims. EACL (1) (2017)
Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim
GRASP: Rich Patterns for Argumentation Mining. EMNLP (2017)
Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim
A Recorded Debating Dataset. CoRR (2017)
Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization. ArgMining@EMNLP (2017)
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
Unsupervised corpus-wide claim detection. ArgMining@EMNLP (2017)
Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim
Expert Stance Graphs for Computational Argumentation. ArgMining@ACL (2016)

Noam Slonim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Noam Slonim