Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roni Friedman"'
Autor:
Tamar Lavee, Daniel Hershcovich, Slava Shechtman, Yoav Katz, Guy Moshkowich, Shai Gretz, Yonatan Bilu, Ran Levy, Charles Jochim, Michal Jacovi, Lilach Edelstein, Assaf Toledo, Ariel Gera, Artem Spector, Eyal Shnarch, Aya Soffer, Benjamin Sznajder, Carlos Alzate, Ruty Rinott, Orith Toledo-Ronen, Noam Slonim, Dalia Krieger, Dan Gutfreund, Yosi Mass, Lili Kotlerman, Ranit Aharonov, Liat Ein-Dor, Dafna Sheinwald, Leshem Choshen, Dan Lahav, Amir Menczel, Ben Bogin, David Konopnicki, Yoav Kantor, Shay Hummel, Elad Venezian, Shachar Mirkin, Ilya Shnayderman, Ron Hoory, Roni Friedman-Melamed, Lena Dankin, Martin Gleize, Roy Bar-Haim, Francesca Bonin, Ella Rabinovich, Matan Orbach, Zvi Kons, Alon Halfon, Yufang Hou, Shila Ofek-Koifman, Naftali Liberman, Edo Cohen-Karlik, Assaf Gavron
Publikováno v:
Nature. 591:379-384
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 activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01dd149822094d65fe7bf5ea23f9a8b7
https://doi.org/10.1038/s41586-021-03215-w
https://doi.org/10.1038/s41586-021-03215-w
Publikováno v:
ACL/IJCNLP (1)
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 approaches provide only a partial view of the data: aspect-based sentiment s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3498bac2d1d8e2342983a569e0340883
http://arxiv.org/abs/2106.06758
http://arxiv.org/abs/2106.06758
Publikováno v:
ACL
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 of talking points, termed "key points", each scored according to its s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea970323607bfe09c8c5774771043a26
http://arxiv.org/abs/2005.01619
http://arxiv.org/abs/2005.01619
Publikováno v:
EMNLP (1)
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 prevalence. Work on multi-document summarization has traditionally focused on c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212fece711b0c73997cc33979b9d8c74
https://doi.org/10.18653/v1/2020.emnlp-main.3
https://doi.org/10.18653/v1/2020.emnlp-main.3
Autor:
Edo Cohen-Karlik, Dan Lahav, Elad Venezian, Assaf Toledo, Michal Jacovi, Noam Slonim, Roni Friedman, Shai Gretz, Ranit Aharonov
Publikováno v:
EMNLP/IJCNLP (1)
We explore the task of automatic assessment of argument quality. To that end, we actively collected 6.3k arguments, more than a factor of five compared to previously examined data. Each argument was explicitly and carefully annotated for its quality.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc2fcd4848a51b5cd681a26111e51296
http://arxiv.org/abs/1909.01007
http://arxiv.org/abs/1909.01007
Autor:
Edo Cohen-Karlik, Roni Friedman, Noam Slonim, Ranit Aharonov, Assaf Toledo, Dan Lahav, Shai Gretz
Publikováno v:
AAAI
Identifying the quality of free-text arguments has become an important task in the rapidly expanding field of computational argumentation. In this work, we explore the challenging task of argument quality ranking. To this end, we created a corpus of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0769223a0b76c6e9c3dca71dea913df