Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Michal Jacovi"'
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:582-585
The popularity of social media across the Internet re- sults in people-centric data sources that users can potentially leverage for relationship discovery tasks. In this paper, we describe SaNDVis, a visual system that supports tasks like expertise l
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
Publikováno v:
Advances in the Human Side of Service Engineering ISBN: 9783030808396
AHFE (8)
AHFE (8)
Employee engagement is often highlighted as a critical factor to achieve innovation, responsiveness to customers, and numerous other desirable business outcomes. Less clear in the literature, and in today’s business enterprises, are approaches to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f68a47d6e5d8f2977818553afba446d
https://doi.org/10.1007/978-3-030-80840-2_5
https://doi.org/10.1007/978-3-030-80840-2_5
Autor:
Yonatan Bilu, Ranit Aharonov, Michal Jacovi, Assaf Toledo, Matan Orbach, Dan Lahav, Noam Slonim
Publikováno v:
ACL
An educated and informed consumption of media content has become a challenge in modern times. With the shift from traditional news outlets to social media and similar venues, a major concern is that readers are becoming encapsulated in "echo chambers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf10a40f18427c77d553776d5bdcebe2
http://arxiv.org/abs/2005.01157
http://arxiv.org/abs/2005.01157
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:
Yoav Kantor, Lili Kotlerman, Matan Orbach, Ranit Aharonov, Yonatan Bilu, Lena Dankin, Ariel Gera, Michal Jacovi, Tamar Lavee, Shachar Mirkin, Noam Slonim
Publikováno v:
EMNLP/IJCNLP (1)
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 task of producing a critical response to a long argumentative text, and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4612efc3522792744f05640ee0f7d3
http://arxiv.org/abs/1909.00393
http://arxiv.org/abs/1909.00393
Autor:
Tamar Lavee, Lili Kotlerman, Michal Jacovi, Noam Slonim, Yonatan Bilu, Matan Orbach, Ranit Aharonov
Publikováno v:
Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP.
Recent advancements in machine reading and listening comprehension involve the annotation of long texts. Such tasks are typically time consuming, making crowd-annotations an attractive solution, yet their complexity often makes such a solution unfeas
Autor:
Michal Jacovi, Lili Kotlerman, Yonatan Bilu, Noam Slonim, Tamar Lavee, Matan Orbach, Yoav Kantor, Lena Dankin, Shai Gretz, Ranit Aharonov
Publikováno v:
ArgMining@ACL
Engaging in a live debate requires, among other things, the ability to effectively rebut arguments claimed by your opponent. In particular, this requires identifying these arguments. Here, we suggest doing so by automatically mining claims from a cor
Autor:
Yonatan Bilu, Guy Moshkowich, Matan Orbach, Ranit Aharonov, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Tamar Lavee, Yoav Kantor, Noam Slonim
Publikováno v:
EMNLP
This paper presents a task for machine listening comprehension in the argumentation domain and a corresponding dataset in English. We recorded 200 spontaneous speeches arguing for or against 50 controversial topics. For each speech, we formulated a q
Publikováno v:
CHI
The 'like' button, introduced by Facebook several years ago, has become one of the most prominent icons of social media. Similarly to other popular social media features on the web, enterprises have also recently adopted it. In this paper, we present