Papers by Shachar Mirkin

3 papers
A Dataset of General-Purpose Rebuttal (D19-1)

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Challenge: a key element in argumentation is rebuttal, the ability to contest an argument by presenting a counter-argument.
Approach: They propose a method based on general rebuttal arguments to produce a critical response to a long argumentative text.
Outcome: The proposed method overcomes the need for topic-specific arguments to be provided . it allows creating responses beyond the scope of topics for which specific arguments are available .
Listening Comprehension over Argumentative Content (D18-1)

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Challenge: In argumentation domain, people are exposed directly to audio (or the video), without access to a written version.
Approach: They present a task for machine listening comprehension in the argumentation domain and a dataset in English.
Outcome: The proposed task is based on 200 speeches arguing for or against 50 controversial topics and uses baseline methods to address it.
A Recorded Debating Dataset (L18-1)

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Challenge: Existing research in computational argumentation and debating technologies focuses on argumentation mining, but other tasks are being addressed as well.
Approach: They describe a dataset of debating speeches in English that is used for research . they use an automatic speech recognition system to produce a more "nLP-friendly" text .
Outcome: The proposed dataset contains 60 speeches on various controversial topics, each in five formats corresponding to different stages in production.

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