6 citations · 9 across the 4 of their papers we have counts for
5 papers · 1 filter
Out of the Echo Chamber: Detecting Countering Debate Speeches
Matan Orbach, Yonatan Bilu, Assaf Toledo +4
An educated and informed consumption of media content has become a challenge in modern times. With the shift from traditional news outlets to social media and similar venues, a maj…
Automatic Argument Quality Assessment -- New Datasets and Methods
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik +6
We explore the task of automatic assessment of argument quality. To that end, we actively collected 6.3k arguments, more than a factor of five compared to previously examined data.…
A Dataset of General-Purpose Rebuttal
Matan Orbach, Yonatan Bilu, Ariel Gera +8
In Natural Language Understanding, the task of response generation is usually focused on responses to short texts, such as tweets or a turn in a dialog. Here we present a novel tas…
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining
Tamar Lavee, Matan Orbach, Lili Kotlerman +8
Engaging in a live debate requires, among other things, the ability to effectively rebut arguments claimed by your opponent. In particular, this requires identifying these argument…
A Recorded Debating Dataset
Shachar Mirkin, Michal Jacovi, Tamar Lavee +6
This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technol…