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most citedInformation based clustering

221 citations · 523 across the 43 of their papers we have counts for

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Showing 2019 · cs.CLShow all

10 papers · 2 filters

cs.CL2019★ 1 cited

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…

cs.CL2019

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…

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

Argument Invention from First Principles

Yonatan Bilu, Ariel Gera, Daniel Hershcovich +6

Competitive debaters often find themselves facing a challenging task -- how to debate a topic they know very little about, with only minutes to prepare, and without access to books…

cs.CL2019

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…