Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Einat Minkov"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8240 (2024)
The authenticity of classical Arabic poetry has long been challenged by claims that some part of the pre-Islamic poetic heritage should not be attributed to this era. According to these assertions, some of this legacy was produced after the advent of
Externí odkaz:
https://doaj.org/article/d9eb5139d85241e49b94bf5e6e47a736
Autor:
Nir Lotan, Einat Minkov
Publikováno v:
PLoS ONE, Vol 18, Iss 7, p e0283700 (2023)
Social world knowledge is a key ingredient in effective communication and information processing by humans and machines alike. As of today, there exist many knowledge bases that represent factual world knowledge. Yet, there is no resource that is des
Externí odkaz:
https://doaj.org/article/429f9762c9b945df868fe34adad9ee0b
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179281 (2017)
Contrary to the assumption that web browsers are designed to support the user, an examination of a 900,000 distinct PCs shows that web browsers comprise a complex ecosystem with millions of addons collaborating and competing with each other. It is po
Externí odkaz:
https://doaj.org/article/354e9c4b918c4bd4ba76a7bde0a95f18
Publikováno v:
IEEE Internet Computing. 25:48-57
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence. Hate speech detection requires overwhelming resources including high-performance computing fo
Publikováno v:
ACM Transactions on Social Computing. 3:1-36
Attempts to explain the success of knowledge co-production communities have focused on organizational design, including structure, motivation, roles, and coordination mechanisms. Meantime, the role that subject-matter-experts play in these knowledge
Publikováno v:
Information Sciences. 528:92-112
We tackle a major challenge of information filtering on social media (SM): rather than address the general question “what are people talking about on SM?”, we consider a finer question, “what are ... talking about on SM?”, where ... stands fo
Publikováno v:
Expert Systems with Applications. 124:182-195
This paper outlines RSR, a relational social recommendation approach applied to a social graph comprised of relational entity profiles. RSR uses information extraction and learning methods to obtain relational facts about persons of interest from the
The massive spread of hate speech, hateful content targeted at specific subpopulations, is a problem of critical social importance. Automated methods of hate speech detection typically employ state-of-the-art deep learning (DL)-based text classifiers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e8f02f176a2226f33f1c33fe3042361
Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization. We employ pretrained language models (LMs) to alleviate this data bottleneck. We utilize the GPT LM for generating large amounts of synth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::716a6893fcc4b48bc095cbc8d61e94a5
Publikováno v:
AVI
When we consider our CV, it is full of entities - where we studied, where we worked, who we collaborated with on a project or on a paper. Entities we are linked to are part of our profile and as such they help to understand who we are and what are we