Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Silvio Amir"'
Autor:
Xiaolei Huang, Lucie Flek, Franck Dernoncourt, Charles Welch, Silvio Amir, Ramit Sawhney, Diyi Yang
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 14:974-978
In an effort to democratize the regulatory process, the United States Federal government created regulations.gov, a portal through which federal agencies can share proposed regulations and solicit feedback from the public. A proposed regulation will
Publikováno v:
NAACL-HLT
Recent work has shown that fine-tuning large networks is surprisingly sensitive to changes in random seed(s). We explore the implications of this phenomenon for model fairness across demographic groups in clinical prediction tasks over electronic hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55ea410641556733eeaa0514773e35e
http://arxiv.org/abs/2104.06338
http://arxiv.org/abs/2104.06338
Publikováno v:
Proc ACM Hum Comput Interact
The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence. While #MeToo has been praised for providing support for self-disclosures of harassment or violence and shifting societal response, it has al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a02780cf2bd52e131548c0c966c3206
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030415044
PROPOR
PROPOR
Current approaches to the computational modelling of irony mostly address verbal irony and sarcasm, neglecting other productive types of irony, namely situational irony. The function of situational irony is to lay emphasis on (real or fictional) even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c61cb43116b2f766cfe880b7c9e3557
https://doi.org/10.1007/978-3-030-41505-1_7
https://doi.org/10.1007/978-3-030-41505-1_7
Publikováno v:
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology.
The ability to track mental health conditions via social media opened the doors for large-scale, automated, mental health surveillance. However, inferring accurate population-level trends requires representative samples of the underlying population,
Publikováno v:
CoNLL
Publikováno v:
CIT/IUCC/DASC/PICom
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promising avenue of research concerns the use of opinion mining. We design
Publikováno v:
ACL (1)
We investigate a technique to adapt unsupervised word embeddings to specific applications, when only small and noisy labeled datasets are available. Current methods use pre-trained embeddings to initialize model parameters, and then use the labeled d
Autor:
Isabel Trancoso, Ramón Fernandez Astudillo, Mário J. Silva, Wang Ling, Bruno Martins, Silvio Amir
Publikováno v:
SemEval@NAACL-HLT
We present the approach followed by INESCID in the SemEval 2015 Twitter Sentiment Analysis challenge, subtask E. The goal was to determine the strength of the association of Twitter terms with positive sentiment. Using two labeled lexicons, we traine