Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ashiqur R. KhudaBukhsh"'
Autor:
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. KhudaBukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar
Publikováno v:
Computational Data and Social Networks ISBN: 9783031263026
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6abbcaf61e59b26c0541ea3612583196
https://doi.org/10.1007/978-3-031-26303-3_17
https://doi.org/10.1007/978-3-031-26303-3_17
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
In this paper, we analyze the responses of three major US cable news networks to three seminal policing events in the US spanning a thirteen month period--the murder of George Floyd by police officer Derek Chauvin, the Capitol riot, Chauvin's convict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23d509f76c5f870134f1cc3786ad0ce4
https://doi.org/10.24963/ijcai.2022/702
https://doi.org/10.24963/ijcai.2022/702
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
We present a novel dataset of dialogues containing interruption with an aim to conduct a large-scale analysis of interruption patterns of people from diverse backgrounds in terms of gender, race/ethnicity, occupation, and political orientation. Our d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943137d3b062b15a62547dc9c07405a9
https://doi.org/10.24963/ijcai.2022/724
https://doi.org/10.24963/ijcai.2022/724
Publikováno v:
AAAI
The Rohingya refugee crisis is one of the biggest humanitarian crises of modern times with more than 700,000 Rohingyas rendered homeless according to the United Nations High Commissioner for Refugees. While it has received sustained press attention g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6809896dea3ff4cb082ea557dcb44a45
https://doi.org/10.1609/aaai.v34i01.5382
https://doi.org/10.1609/aaai.v34i01.5382
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031190964
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e5bf50059d3de66edf9b90187f89d2b
https://doi.org/10.1007/978-3-031-19097-1_10
https://doi.org/10.1007/978-3-031-19097-1_10
Publikováno v:
AAMAS
\emphLearning-to-refer is a challenge in expert referral networks, wherein Active Learning helps experts (agents) estimate the skills of other connected experts for different categories of tasks that the initial expert cannot solve and therefore must
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fee39aa0b40d524ad80392fe01d4300
https://doi.org/10.1007/s10458-019-09419-9
https://doi.org/10.1007/s10458-019-09419-9
Publikováno v:
Patterns (New York, N.Y.). 3(2)
We use a suite of cutting-edge natural language processing methods to quantify and characterize societal and gender biases in popular movie content. Our data set consists of English subtitles of popular movies from Bollywood-the Mumbai film industry-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::159bc2fe1cf4cef88d4ec9d2f0a67e5a
https://pubmed.ncbi.nlm.nih.gov/35465228
https://pubmed.ncbi.nlm.nih.gov/35465228
Publikováno v:
Low Resource Social Media Text Mining ISBN: 9789811656248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5dfc4e64b8a848a24c221fa406c7c23
https://doi.org/10.1007/978-981-16-5625-5_4
https://doi.org/10.1007/978-981-16-5625-5_4
Publikováno v:
Low Resource Social Media Text Mining ISBN: 9789811656248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce0f6659c52d1a408a05daf0fcb8077
https://doi.org/10.1007/978-981-16-5625-5_1
https://doi.org/10.1007/978-981-16-5625-5_1
Publikováno v:
SpringerBriefs in Computer Science ISBN: 9789811656248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c3adc0477898e2abc30fc46fea19ed6
https://doi.org/10.1007/978-981-16-5625-5
https://doi.org/10.1007/978-981-16-5625-5