1 citations · 1 across the 1 of their papers we have counts for
8 papers · 1 filter
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
Arie Cattan, Lilach Eden, Yoav Kantor +1
Key Point Analysis (KPA) has been recently proposed for deriving fine-grained insights from collections of textual comments. KPA extracts the main points in the data as a list of c…
Project Debater APIs: Decomposing the AI Grand Challenge
Roy Bar-Haim, Yoav Kantor, Elad Venezian +2
Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics. Engaging in a live debate requires a diverse set of skills, and Project…
Every Bite Is an Experience: Key Point Analysis of Business Reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor +2
Previous work on review summarization focused on measuring the sentiment toward the main aspects of the reviewed product or business, or on creating a textual summary. These approa…
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Roy Bar-Haim, Yoav Kantor, Lilach Eden +3
When summarizing a collection of views, arguments or opinions on some topic, it is often desirable not only to extract the most salient points, but also to quantify their prevalenc…
From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim, Lilach Eden, Roni Friedman +3
Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem. We propose to represent such summaries as a small set…
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…