206 citations · 240 across the 17 of their papers we have counts for
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A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
Shai Gretz, Roni Friedman, Edo Cohen-Karlik +4
Identifying the quality of free-text arguments has become an important task in the rapidly expanding field of computational argumentation. In this work, we explore the challenging…
Corpus Wide Argument Mining -- a Working Solution
Liat Ein-Dor, Eyal Shnarch, Lena Dankin +10
One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic. Most previous work addressed this task by retrieving a relatively sm…
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…
Controversy in Context
Benjamin Sznajder, Ariel Gera, Yonatan Bilu +5
With the growing interest in social applications of Natural Language Processing and Computational Argumentation, a natural question is how controversial a given concept is. Prior w…
Fast End-to-End Wikification
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass +7
Wikification of large corpora is beneficial for various NLP applications. Existing methods focus on quality performance rather than run-time, and are therefore non-feasible for lar…
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…
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen +4
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding an…