activity
20172026
most citedAutomatic Argument Quality Assessment -- New Datasets and Methods

6 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2026★ 2 cited

General Agent Evaluation

Elron Bandel, Asaf Yehudai, Lilach Eden +12

General-purpose agents perform tasks in unfamiliar environments without domain-specific manual customization. Yet no study has systematically measured how agent architecture shapes…

cs.CL2020

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…

cs.CL2019★ 6 cited

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.…

cs.CL2019

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…

cs.CL2019★ 1 cited

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…

cs.CL2017

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…