Search Results for author: Yoav Kantor

Found 9 papers, 2 papers with code

Project Debater APIs: Decomposing the AI Grand Challenge

no code implementations EMNLP (ACL) 2021 Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim

Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask.

Argument Mining

Every Bite Is an Experience: Key Point Analysis of Business Reviews

no code implementations ACL 2021 Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim

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.

Sentiment Analysis

Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis

2 code implementations EMNLP 2020 Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim

Recent work has proposed to summarize arguments by mapping them to a small set of expert-generated key points, where the salience of each key point corresponds to the number of its matching arguments.

Document Summarization Key Point Matching +1

From Arguments to Key Points: Towards Automatic Argument Summarization

no code implementations ACL 2020 Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim

Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem.

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining

no code implementations WS 2019 Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

To this end, we collected a large dataset of $400$ speeches in English discussing $200$ controversial topics, mined claims for each topic, and asked annotators to identify the mined claims mentioned in each speech.

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