Ranit Aharonov

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 47

Top Topics

Natural Language Processing

Similarity Metric

Sentiment Analysis

Top Venues

EMNLP (Findings)

Publications

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)
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)
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)
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)
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)
Guy Feigenblat, R. Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. EMNLP (Findings) (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)
Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi
Using Question Answering Rewards to Improve Abstractive Summarization. EMNLP (Findings) (2021)
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
Overview of the 2021 Key Point Analysis Shared Task. CoRR (2021)
Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. 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)
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)
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. 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)
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)
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)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. CoRR (2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. AACL/IJCNLP (2020)
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
YASO: A New Benchmark for Targeted Sentiment Analysis. CoRR (2020)
Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation. CoRR (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)
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)
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)
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
Controversy in Context. 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)
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)
Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim
Learning Concept Abstractness Using Weak Supervision. 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)
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)
Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
Unsupervised corpus-wide claim detection. ArgMining@EMNLP (2017)
Michal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, Jianying Hu
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study. Big Data 4 (3) (2016)