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Quality Controlled Paraphrase Generation


Apr 01, 2022
Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor

* Accepted as a long paper at ACL 2022 

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Cluster & Tune: Boost Cold Start Performance in Text Classification


Mar 20, 2022
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim

* 9 pages, 6 figures; To be published in ACL 2022 

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Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis


Jan 06, 2022
Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim


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TWEETSUMM -- A Dialog Summarization Dataset for Customer Service


Nov 23, 2021
Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov

* Findings of the Association for Computational Linguistics: EMNLP (2021) 245--260 

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Overview of the 2021 Key Point Analysis Shared Task


Oct 20, 2021
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim


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YASO: A New Benchmark for Targeted Sentiment Analysis


Dec 29, 2020
Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim

* For the associated TSA corpus, see https://www.research.ibm.com/haifa/dept/vst/debating_data.shtml#Targeted%20Sentiment%20Analysis 

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Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation


Nov 29, 2020
Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li


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Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains


Oct 19, 2020
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov

* Accepted to Findings of EMNLP 

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A Survey of the State of Explainable AI for Natural Language Processing


Oct 01, 2020
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen

* To appear in AACL-IJCNLP 2020 

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Out of the Echo Chamber: Detecting Countering Debate Speeches


May 03, 2020
Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim

* Accepted to ACL 2020 as Long Paper. For the associated debate speeches corpus, see https://www.research.ibm.com/haifa/dept/vst/debating_data.shtml#Debate%20Speech%20Analysis 

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A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis


Nov 26, 2019
Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim

* Accepted to AAAI 2020 

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Corpus Wide Argument Mining -- a Working Solution


Nov 25, 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

* AAAI 2020 

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Automatic Argument Quality Assessment -- New Datasets and Methods


Sep 03, 2019
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim

* Published at EMNLP 2019 

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A Dataset of General-Purpose Rebuttal


Sep 01, 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 

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Controversy in Context


Aug 20, 2019
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim

* 5 pages 

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Fast End-to-End Wikification


Aug 19, 2019
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim


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Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining


Jul 27, 2019
Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

* 6th Argument Mining Workshop @ ACL 2019 

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Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network


Jul 23, 2019
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim

* accepted to ACL 2019 - long paper 

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Learning Concept Abstractness Using Weak Supervision


Sep 05, 2018
Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim

* 6 pages, EMNLP 2018 

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