Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Isar Nejadgholi"'
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
Publikováno v:
IEEE Access, Vol 12, Pp 14350-14363 (2024)
Suicidal ideation detection is a vital research area that holds great potential for improving mental health support systems. However, the sensitivity surrounding suicide-related data poses challenges in accessing large-scale, annotated datasets neces
Externí odkaz:
https://doaj.org/article/9b409c1d5d9d488e9cafe8e1172c76ca
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Stereotypes are encountered every day, in interpersonal communication as well as in entertainment, news stories, and on social media. In this study, we present a computational method to mine large, naturally occurring datasets of text for sentences t
Externí odkaz:
https://doaj.org/article/501947263ee14dc7a07ea6c616637a47
Motivations for methods in explainable artificial intelligence (XAI) often include detecting, quantifying and mitigating bias, and contributing to making machine learning models fairer. However, exactly how an XAI method can help in combating biases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2f54ff3635bf5538c7e6fa5a7239be
http://arxiv.org/abs/2206.03945
http://arxiv.org/abs/2206.03945
Robustness of machine learning models on ever-changing real-world data is critical, especially for applications affecting human well-being such as content moderation. New kinds of abusive language continually emerge in online discussions in response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::843ef418e1e5d9290edfb8ad02a23918
https://doi.org/10.18653/v1/2022.acl-long.378
https://doi.org/10.18653/v1/2022.acl-long.378
We curated WikiPII, an automatically labeled dataset composed of Wikipedia biography pages, annotated for personal information extraction. Although automatic annotation can lead to a high degree of label noise, it is an inexpensive process and can ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58ae4250fbf9945091651d3a1c8e907e
https://nrc-publications.canada.ca/eng/view/object/?id=797123e5-9124-4a7d-9bc2-4da13b8ff1f5
https://nrc-publications.canada.ca/eng/view/object/?id=797123e5-9124-4a7d-9bc2-4da13b8ff1f5
Publikováno v:
IET Signal Processing. 13:21-28
Classification is presented as a pre-processing step in this study. The state of the subject is classified as the unmoving state with normal breathing (normal breathing class), unmoving state with no breathing (stop breathing class) or the state when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17f11cca7dd3970dacc2eebccfc96acc
https://doi.org/10.1049/iet-spr.2018.5245
https://doi.org/10.1049/iet-spr.2018.5245
Publikováno v:
ACL/IJCNLP (1)
Stereotypical language expresses widely-held beliefs about different social categories. Many stereotypes are overtly negative, while others may appear positive on the surface, but still lead to negative consequences. In this work, we present a comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a6b2616318d2e6de60c773200925925
https://doi.org/10.18653/v1/2021.acl-long.50
https://doi.org/10.18653/v1/2021.acl-long.50
The pervasiveness of abusive content on the internet can lead to severe psychological and physical harm. Significant effort in Natural Language Processing (NLP) research has been devoted to addressing this problem through abusive content detection an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a847b3c8c3c52725a720288d5a6277
Publikováno v:
BioNLP
When comparing entities extracted by a medical entity recognition system with gold standard annotations over a test set, two types of mismatches might occur, label mismatch or span mismatch. Here we focus on span mismatch and show that its severity c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f6d3287273727a81294076bd689790c
Publikováno v:
Neural Processing Letters. 46:943-960
Human cognitive system adapts many different environments by exhibiting a broad range of behaviors according to the context. These behaviors vary from general abstractions referred as prototypes to specific perceptual patterns referred as exemplars.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84dc2b9e834aa5a6852d3ff466aa36f4
https://doi.org/10.1007/s11063-017-9615-5
https://doi.org/10.1007/s11063-017-9615-5