19 citations · 25 across the 4 of their papers we have counts for
5 papers
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…
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
Yosi Mass, Lili Kotlerman, Shachar Mirkin +3
We describe a large, high-quality benchmark for the evaluation of Mention Detection tools. The benchmark contains annotations of both named entities as well as other types of entit…
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…
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja, Anirban Laha, Shachar Mirkin +3
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect…