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.
We present a complete pipeline of a debating system, and discuss the information flow and the interaction between the various components.
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.
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.
Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem.
When debating a controversial topic, it is often desirable to expand the boundaries of discussion.
Sentiment composition is a fundamental sentiment analysis problem.
Stance classification is a core component in on-demand argument construction pipelines.
Recent work has addressed the problem of detecting relevant claims for a given controversial topic.
no code implementations • • Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund