Ranit Aharonov - researchr alias

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Viewing Publication 1 - 31 from 31

2022

2021

TWEETSUMM - A Dialog Summarization Dataset for Customer ServiceGuy Feigenblat, R. Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov. emnlp 2021: 245-260 [doi]

Overview of the 2021 Key Point Analysis Shared TaskRoni Friedman, Lena Dankin, Yufang Hou 0001, Ranit Aharonov, Yoav Katz, Noam Slonim. argmining 2021: 154-164 [doi]

Using Question Answering Rewards to Improve Abstractive SummarizationChulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi. emnlp 2021: 518-526 [doi]

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain ReviewsMatan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim. emnlp 2021: 9154-9173 [doi]

An autonomous debating systemNoam 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 0001, 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. nature, 591(7850):379-384, 2021. [doi]

2020

A Survey of the State of Explainable AI for Natural Language ProcessingMarina Danilevsky, Kun Qian 0002, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen. ijcnlp 2020: 447-459 [doi]

Active Learning for BERT: An Empirical StudyLiat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim. emnlp 2020: 7949-7962 [doi]

Corpus Wide Argument Mining - A Working SolutionLiat 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: 7683-7691 [doi]

A Large-Scale Dataset for Argument Quality Ranking: Construction and AnalysisShai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim. AAAI 2020: 7805-7813 [doi]

Out of the Echo Chamber: Detecting Countering Debate SpeechesMatan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim. acl 2020: 7073-7086 [doi]

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New DomainsEyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim. emnlp 2020: 2678-2697 [doi]

2019

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic ExpansionRoy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim. acl 2019: 977-990 [doi]

Are You Convinced? Choosing the More Convincing Evidence with a Siamese NetworkMartin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim. acl 2019: 967-976 [doi]

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim MiningTamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim. argmining 2019: 58-66 [doi]

A Dataset of General-Purpose RebuttalMatan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim. emnlp 2019: 5590-5600 [doi]

Automatic Argument Quality Assessment - New Datasets and MethodsAssaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim. emnlp 2019: 5624-5634 [doi]

2018

Learning Thematic Similarity Metric from Article Sections Using Triplet NetworksLiat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim. acl 2018: 49-54 [doi]

Towards an argumentative content search engine using weak supervisionRan Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim. COLING 2018: 2066-2081 [doi]

Listening Comprehension over Argumentative ContentShachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim. emnlp 2018: 719-724 [doi]

Learning Concept Abstractness Using Weak SupervisionElla Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim. emnlp 2018: 4854-4859 [doi]

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation MiningEyal Shnarch, Carlos Alzate Perez, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim. acl 2018: 599-605 [doi]

Learning Sentiment Composition from Sentiment LexiconsOrith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim. COLING 2018: 2230-2241 [doi]

2017

Unsupervised corpus-wide claim detectionRan Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim. argmining 2017: 79-84 [doi]

2016

Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case StudyMichal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, Jianying Hu. bigdata, 4(3):148-159, 2016. [doi]

2003

Localization of Function via Lesion AnalysisRanit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin. neco, 15(4):885-913, 2003. [doi]

High-Dimensional Analysis of Evolutionary Autonomous AgentsLior Segev, Ranit Aharonov, Isaac Meilijson, Eytan Ruppin. alife, 9(1):1-20, 2003.

2001

Understanding the Agent s Brain: A Quantitative ApproachRanit Aharonov, Isaac Meilijson, Eytan Ruppin. ecal 2001: 216-225 [doi]

Emerging command neuron circuitry in evolved autonomous agentsTuvik Beker, Ranit Aharonov, Eytan Ruppin. ijon, 38-40:1101-1106, 2001. [doi]

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2001

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