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debater.bib
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@Article{Slonim2021,
author={Slonim, Noam
and Bilu, Yonatan
and Alzate, Carlos
and Bar-Haim, Roy
and Bogin, Ben
and Bonin, Francesca
and Choshen, Leshem
and Cohen-Karlik, Edo
and Dankin, Lena
and Edelstein, Lilach
and Ein-Dor, Liat
and Friedman-Melamed, Roni
and Gavron, Assaf
and Gera, Ariel
and Gleize, Martin
and Gretz, Shai
and Gutfreund, Dan
and Halfon, Alon
and Hershcovich, Daniel
and Hoory, Ron
and Hou, Yufang
and Hummel, Shay
and Jacovi, Michal
and Jochim, Charles
and Kantor, Yoav
and Katz, Yoav
and Konopnicki, David
and Kons, Zvi
and Kotlerman, Lili
and Krieger, Dalia
and Lahav, Dan
and Lavee, Tamar
and Levy, Ran
and Liberman, Naftali
and Mass, Yosi
and Menczel, Amir
and Mirkin, Shachar
and Moshkowich, Guy
and Ofek-Koifman, Shila
and Orbach, Matan
and Rabinovich, Ella
and Rinott, Ruty
and Shechtman, Slava
and Sheinwald, Dafna
and Shnarch, Eyal
and Shnayderman, Ilya
and Soffer, Aya
and Spector, Artem
and Sznajder, Benjamin
and Toledo, Assaf
and Toledo-Ronen, Orith
and Venezian, Elad
and Aharonov, Ranit},
title={An autonomous debating system},
journal={Nature},
year={2021},
month={Mar},
day={01},
volume={591},
number={7850},
pages={379-384},
abstract={Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually associated with intelligent beings. Argument and debate are fundamental capabilities of human intelligence, essential for a wide range of human activities, and common to all human societies. The development of computational argumentation technologies is therefore an important emerging discipline in AI research1. Here we present Project Debater, an autonomous debating system that can engage in a competitive debate with humans. We provide a complete description of the system's architecture, a thorough and systematic evaluation of its operation across a wide range of debate topics, and a detailed account of the system's performance in its public debut against three expert human debaters. We also highlight the fundamental differences between debating with humans as opposed to challenging humans in game competitions, the latter being the focus of classical `grand challenges' pursued by the AI research community over the past few decades. We suggest that such challenges lie in the `comfort zone' of AI, whereas debating with humans lies in a different territory, in which humans still prevail, and for which novel paradigms are required to make substantial progress.},
issn={1476-4687},
doi={10.1038/s41586-021-03215-w},
url={https://doi.org/10.1038/s41586-021-03215-w}
}