Noam Slonim - RankMe

135 papers A* 19A 3B 6C 1Misc 1Journal 56Unranked 47

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. EMNLP Noy Sternlicht, Ariel Gera, Roy Bar-Haim, Tom Hope, Noam Slonim
2025	J	`jnl`	Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. CoRR Noy Sternlicht, Ariel Gera, Roy Bar-Haim, Tom Hope, Noam Slonim
2024	J	`jnl`	Conversational Prompt Engineering. CoRR Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim
2024	—	`conf`	Efficient Benchmarking (of Language Models). NAACL-HLT Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2024	J	`jnl`	Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim
2023	A*	`conf`	Active Learning for Natural Language Generation. EMNLP Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023	J	`jnl`	Active Learning for Natural Language Generation. CoRR Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023	—	`conf`	Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. EACL (Findings) Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
2023	—	`conf`	ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen
2023	J	`jnl`	Efficient Benchmarking (of Language Models). CoRR Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2023	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 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
2023	—	`conf`	Knowledge is a Region in Weight Space for Fine-tuned Language Models. EMNLP (Findings) Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
2023	J	`jnl`	Knowledge is a Region in Weight Space for Fine-tuned Language Models. CoRR Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
2023	—	`conf`	The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) Ariel Gera, Roni Friedman, Ofir Arviv, R. Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
2023	J	`jnl`	The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR Ariel Gera, Roni Friedman, Ofir Arviv, R. Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
2023	—	`conf`	Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. EMNLP (Industry Track) Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, Roy Bar-Haim
2023	A*	`conf`	Where to start? Analyzing the potential value of intermediate models. EMNLP Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
2023	—	`conf`	Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor
2023	A*	`conf`	nBIIG: A Neural BI Insights Generation System for Table Reporting. AAAI Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022	J	`jnl`	Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. CoRR Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim
2022	—	`conf`	Cluster & Tune: Boost Cold Start Performance in Text Classification. ACL (1) Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
2022	J	`jnl`	Cluster & Tune: Boost Cold Start Performance in Text Classification. CoRR Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
2022	J	`jnl`	ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
2022	J	`jnl`	Diversity Enhanced Table-to-Text Generation via Type Control. CoRR Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. CoRR 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
2022	A*	`conf`	Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. AAAI Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
2022	J	`jnl`	Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. CoRR Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim
2022	J	`jnl`	Fusing finetuned models for better pretraining. CoRR Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
2022	J	`jnl`	Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. CoRR Benjamin Sznajder, R. Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim
2022	J	`jnl`	Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín 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
2022	—	`conf`	Multi-Domain Targeted Sentiment Analysis. NAACL-HLT Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
2022	J	`jnl`	Multi-Domain Targeted Sentiment Analysis. CoRR Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim
2022	Misc	`conf`	Project Debater - an autonomous debating system. ISAIM Noam Slonim
2022	—	`conf`	Quality Controlled Paraphrase Generation. ACL (1) Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
2022	J	`jnl`	Quality Controlled Paraphrase Generation. CoRR Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
2022	J	`jnl`	Revisiting Sequential Information Bottleneck: New Implementation and Evaluation. Entropy Assaf Toledo, Elad Venezian, Noam Slonim
2022	J	`jnl`	SimpleStyle: An Adaptable Style Transfer Approach. CoRR Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor
2022	J	`jnl`	VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. CoRR Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim
2022	J	`jnl`	Where to start? Analyzing the potential value of intermediate models. CoRR Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
2022	A*	`conf`	Zero-Shot Text Classification with Self-Training. EMNLP Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
2022	J	`jnl`	Zero-Shot Text Classification with Self-Training. CoRR Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
2022	J	`jnl`	nBIIG: A Neural BI Insights Generation System for Table Reporting. CoRR Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2021	J	`jnl`	An autonomous debating system. Nat. 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
2021	—	`conf`	Every Bite Is an Experience: Key Point Analysis of Business Reviews. ACL/IJCNLP (1) Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
2021	J	`jnl`	Every Bite Is an Experience: Key Point Analysis of Business Reviews. CoRR Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
2021	—	`conf`	Overview of the 2021 Key Point Analysis Shared Task. ArgMining@EMNLP Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
2021	J	`jnl`	Overview of the 2021 Key Point Analysis Shared Task. CoRR Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
2021	—	`conf`	Project Debater APIs: Decomposing the AI Grand Challenge. EMNLP (Demos) Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
2021	J	`jnl`	Project Debater APIs: Decomposing the AI Grand Challenge. CoRR Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
2021	—	`conf`	YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. EMNLP (1) Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
2020	A*	`conf`	A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. AAAI Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
2020	—	`conf`	Active Learning for BERT: An Empirical Study. EMNLP (1) Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim
2020	A*	`conf`	Corpus Wide Argument Mining - A Working Solution. AAAI 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
2020	A*	`conf`	From Arguments to Key Points: Towards Automatic Argument Summarization. ACL Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
2020	J	`jnl`	From Arguments to Key Points: Towards Automatic Argument Summarization. CoRR Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
2020	—	`conf`	Multilingual Argument Mining: Datasets and Analysis. EMNLP (Findings) Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
2020	J	`jnl`	Multilingual Argument Mining: Datasets and Analysis. CoRR Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
2020	A*	`conf`	Out of the Echo Chamber: Detecting Countering Debate Speeches. ACL Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2020	J	`jnl`	Out of the Echo Chamber: Detecting Countering Debate Speeches. CoRR Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2020	J	`jnl`	Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis. CoRR Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
2020	—	`conf`	Quantitative argument summarization and beyond: Cross-domain key point analysis. EMNLP (1) Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim
2020	—	`conf`	The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. EMNLP (Findings) Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
2020	J	`jnl`	The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. CoRR Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
2020	—	`conf`	Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. EMNLP (Findings) Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim
2020	J	`jnl`	Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. CoRR Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov
2020	J	`jnl`	What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus. CoRR Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim
2020	J	`jnl`	YASO: A New Benchmark for Targeted Sentiment Analysis. CoRR Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
2019	—	`conf`	A Dataset of General-Purpose Rebuttal. EMNLP/IJCNLP (1) Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	A Dataset of General-Purpose Rebuttal. CoRR Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis. CoRR Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
2019	—	`conf`	Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. ACL (1) Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. CoRR Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
2019	—	`conf`	Argument Invention from First Principles. ACL (1) Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
2019	J	`jnl`	Argument Invention from First Principles. CoRR Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
2019	—	`conf`	Automatic Argument Quality Assessment - New Datasets and Methods. EMNLP/IJCNLP (1) Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	Automatic Argument Quality Assessment - New Datasets and Methods. CoRR Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	Controversy in Context. CoRR Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
2019	J	`jnl`	Corpus Wide Argument Mining - a Working Solution. CoRR 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
2019	J	`jnl`	Fast End-to-End Wikification. CoRR Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim
2019	—	`conf`	From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. ACL (1) Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim
2019	—	`conf`	Learning to combine Grammatical Error Corrections. BEA@ACL Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
2019	J	`jnl`	Learning to combine Grammatical Error Corrections. CoRR Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
2019	J	`jnl`	Syntactic Interchangeability in Word Embedding Models. CoRR Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim
2019	—	`conf`	Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. ArgMining@ACL Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
2019	J	`jnl`	Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. CoRR Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
2018	B	`conf`	A Recorded Debating Dataset. LREC Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim
2018	A*	`conf`	Learning Concept Abstractness Using Weak Supervision. EMNLP Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
2018	J	`jnl`	Learning Concept Abstractness Using Weak Supervision. CoRR Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
2018	B	`conf`	Learning Sentiment Composition from Sentiment Lexicons. COLING Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
2018	—	`conf`	Learning Thematic Similarity Metric from Article Sections Using Triplet Networks. ACL (2) Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim
2018	A*	`conf`	Listening Comprehension over Argumentative Content. EMNLP Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim
2018	—	`ed.`	Proceedings of the 5th Workshop on Argument Mining, ArgMining@EMNLP 2018, Brussels, Belgium, November 1, 2018 ArgMining@EMNLP Noam Slonim, Ranit Aharonov
2018	C	`conf`	Project Debater. COMMA Noam Slonim
2018	B	`conf`	SLIDE - a Sentiment Lexicon of Common Idioms. LREC Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim
2018	B	`conf`	Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. LREC Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim
2018	B	`conf`	Towards an argumentative content search engine using weak supervision. COLING Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
2018	J	`jnl`	What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text. CoRR Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim
2018	—	`conf`	Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. ACL (2) Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
2017	J	`jnl`	A Recorded Debating Dataset. CoRR Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim
2017	A*	`conf`	GRASP: Rich Patterns for Argumentation Mining. EMNLP Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim
2017	—	`conf`	Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization. ArgMining@EMNLP Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim
2017	—	`ed.`	Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017 ArgMining@EMNLP Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker
2017	—	`conf`	Stance Classification of Context-Dependent Claims. EACL (1) Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim
2017	—	`conf`	Unsupervised corpus-wide claim detection. ArgMining@EMNLP Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
2016	—	`conf`	Automatic Arguments Construction - From Search Engine to Research Engine. AAAI Fall Symposia Dan Gutfreund, Yoav Katz, Noam Slonim
2016	—	`conf`	Claim Synthesis via Predicate Recycling. ACL (2) Yonatan Bilu, Noam Slonim
2016	—	`conf`	Expert Stance Graphs for Computational Argumentation. ArgMining@ACL Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim
2016	—	`conf`	On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. WWW (Companion Volume) Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, Ehud Aharoni
2015	—	`conf`	Automatic Claim Negation: Why, How and When. ArgMining@HLT-NAACL Yonatan Bilu, Daniel Hershcovich, Noam Slonim
2015	J	`jnl`	Debating Technologies (Dagstuhl Seminar 15512). Dagstuhl Reports Iryna Gurevych, Eduard H. Hovy, Noam Slonim, Benno Stein
2015	A*	`conf`	Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. EMNLP Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim
2015	—	`conf`	TR9856: A Multi-word Term Relatedness Benchmark. ACL (2) Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim
2014	—	`conf`	A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. ArgMining@ACL Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim
2014	—	`conf`	Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund
2014	B	`conf`	Context Dependent Claim Detection. COLING Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, Noam Slonim
2013	A*	`conf`	Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? IJCAI Noam Slonim, Ehud Aharoni, Koby Crammer
2013	J	`jnl`	Multivariate Information Bottleneck CoRR Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
2012	—	`conf`	Utilizing assigned treatments as labels for supervised machine learning in clinical decision support. IHI Ruty Rinott, Boaz Carmeli, Carmel Kent, Yonatan Maman, Yoav Rubin, Noam Slonim
2011	A*	`conf`	Active Online Classification via Information Maximization. IJCAI Noam Slonim, Elad Yom-Tov, Koby Crammer
2011	—	`conf`	Prognostic Data-Driven Clinical Decision Support - Formulation and Implications. MIE Ruty Rinott, Boaz Carmeli, Carmel Kent, Daphna Landau, Yonatan Maman, Yoav Rubin, Noam Slonim
2010	A	`conf`	Predicting Customer Churn in Mobile Networks through Analysis of Social Groups. SDM Yossi Richter, Elad Yom-Tov, Noam Slonim
2009	A	`conf`	Parallel Pairwise Clustering. SDM Elad Yom-Tov, Noam Slonim
2006	—	`conf`	Information Bottleneck for Non Co-Occurrence Data. NIPS Yevgeny Seldin, Noam Slonim, Naftali Tishby
2006	J	`jnl`	Multivariate Information Bottleneck. Neural Comput. Noam Slonim, Nir Friedman, Naftali Tishby
2005	J	`jnl`	Estimating mutual information and multi-information in large networks CoRR Noam Slonim, Gurinder S. Atwal, Gasper Tkacik, William Bialek
2003	J	`jnl`	Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Signal Process. Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2002	A*	`conf`	Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2002	—	`conf`	Maximum Likelihood and the Information Bottleneck. NIPS Noam Slonim, Yair Weiss
2002	A*	`conf`	Unsupervised document classification using sequential information maximization. SIGIR Noam Slonim, Nir Friedman, Naftali Tishby
2001	—	`conf`	Agglomerative Multivariate Information Bottleneck. NIPS Noam Slonim, Nir Friedman, Naftali Tishby
2001	A	`conf`	Multivariate Information Bottleneck. UAI Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
2000	—	`conf`	Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS Naftali Tishby, Noam Slonim
2000	A*	`conf`	Document clustering using word clusters via the information bottleneck method. SIGIR Noam Slonim, Naftali Tishby
1999	—	`conf`	Agglomerative Information Bottleneck. NIPS Noam Slonim, Naftali Tishby
1998	—	`conf`	WebSuite: A Tool Suite for Harnessing Web Data. WebDB Catriel Beeri, Gershon Elber, Tova Milo, Yehoshua Sagiv, Oded Shmueli, Naftali Tishby, Yakov A. Kogan, David Konopnicki, Pini Mogilevski, Noam Slonim