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Out of the Echo Chamber: Detecting Countering Debate Speeches



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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Automatic Argument Quality Assessment -- New Datasets and Methods



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



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



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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A Recorded Debating Dataset



Shachar Mirkin , Michal Jacovi , Tamar Lavee , Hong-Kwang Kuo , Samuel Thomas , Leslie Sager , Lili Kotlerman , Elad Venezian , Noam Slonim


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