Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lena Dankin"'
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Special Issue on..., Iss Towards a Digital Ecosystem:... (2019)
We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scientists, and students developed and compared algorithms for intertextua
Externí odkaz:
https://doaj.org/article/ee807760a76e4517a51a46b8b0d73a9b
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
Autor:
Yufang Hou, Benjamin Sznajder, Eyal Shnarch, Liat Ein-Dor, Noam Slonim, Lena Dankin, Carlos Alzate, Martin Gleize, Ariel Gera, Ranit Aharonov, Yonatan Bilu, Alon Halfon, Leshem Choshen
Publikováno v:
AAAI
One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic. Most previous work addressed this task by retrieving a relatively small number of relevant documents as the initial source for such conten
Autor:
Leshem Choshen, Liat Ein-Dor, Lena Dankin, Eyal Shnarch, Alon Halfon, Ranit Aharonov, Yoav Katz, Marina Danilevsky, Ariel Gera, Noam Slonim
Publikováno v:
EMNLP (1)
Real world scenarios present a challenge for text classification, since labels are usually expensive and the data is often characterized by class imbalance. Active Learning (AL) is a ubiquitous paradigm to cope with data scarcity. Recently, pre-train
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
Publikováno v:
Journal of Data Mining and Digital Humanities
Journal of Data Mining and Digital Humanities, Episciences.org, 2019, Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages
Journal of Data Mining and Digital Humanities, Vol Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages, Iss Towards a Digital Ecosystem: NLP. Corpus infrastructure. Methods for Retrieving Texts and Computing Text Similarities (2019)
Journal of Data Mining and Digital Humanities, Episciences.org, 2019, Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages
Journal of Data Mining and Digital Humanities, Vol Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages, Iss Towards a Digital Ecosystem: NLP. Corpus infrastructure. Methods for Retrieving Texts and Computing Text Similarities (2019)
We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scientists, and students developed and compared algorithms for intertextua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67254f4246152250532d2ae890baf550
https://hal.archives-ouvertes.fr/hal-01371751
https://hal.archives-ouvertes.fr/hal-01371751
Autor:
Guy Moshkowich, Leshem Choshen, Ranit Aharonov, Martin Gleize, Lena Dankin, Eyal Shnarch, Noam Slonim
Publikováno v:
ACL (1)
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding and interacting with humans in helpful ways have become ubiquitous. We n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f599d56f17237373d0fe2e648173aad
Autor:
Ariel Gera, Noam Slonim, Orith Toledo-Ronen, Lena Dankin, Liat Ein-Dor, Alon Halfon, Benjamin Sznajder, Yoav Katz, Yonatan Bilu
Extraction of financial and economic events from text has previously been done mostly using rule-based methods, with more recent works employing machine learning techniques. This work is in line with this latter approach, leveraging relevant Wikipedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::193d8801a4f180a1a7114be9cdf7c5aa
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:
Dimitri Pauls, Lena Dankin, Dorji Wangchuk, Nachum Dershowitz, Orna Almogi, Yair Hoffman, Lior Wolf
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319754765
CICLing (1)
CICLing (1)
Tibetan is a monosyllabic language for which computerized language tools are largely lacking. We describe the development of a syllable stemmer for Tibetan. The stemmer is based on a set of rules that strive to identify the vowel, the core letter of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee95db2fa7b03f3ac06f7852ba57bd24
https://doi.org/10.1007/978-3-319-75477-2_20
https://doi.org/10.1007/978-3-319-75477-2_20