Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Hyeju Jang"'
Publikováno v:
Natural Language Processing Journal, Vol 9, Iss , Pp 100118- (2024)
Hypernymy directionality prediction is an important task in Natural Language Processing (NLP) due to its significant usages in natural language understanding and generation. Many supervised and unsupervised methods have been proposed for this task. S
Externí odkaz:
https://doaj.org/article/b6cadc633eb84e9ca6cd9ef1b86ac408
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia S Field, Hyeju Jang
Publikováno v:
JMIR Aging, Vol 5, Iss 3, p e33460 (2022)
BackgroundSpeech data for medical research can be collected noninvasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important, as there is va
Externí odkaz:
https://doaj.org/article/d8dcd6819cb84036ba99adf78894fa49
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 3, p e35016 (2022)
BackgroundThe development and approval of COVID-19 vaccines have generated optimism for the end of the COVID-19 pandemic and a return to normalcy. However, vaccine hesitancy, often fueled by misinformation, poses a major barrier to achieving herd imm
Externí odkaz:
https://doaj.org/article/f1d81294926c46c8bae4c8d2d3da7476
Autor:
Hyeju Jang, Thomas Soroski, Matteo Rizzo, Oswald Barral, Anuj Harisinghani, Sally Newton-Mason, Saffrin Granby, Thiago Monnerat Stutz da Cunha Vasco, Caitlin Lewis, Pavan Tutt, Giuseppe Carenini, Cristina Conati, Thalia S. Field
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Alzheimer’s disease (AD) is a progressive neurodegenerative condition that results in impaired performance in multiple cognitive domains. Preclinical changes in eye movements and language can occur with the disease, and progress alongside worsening
Externí odkaz:
https://doaj.org/article/c7c0149716aa4a36b2ad016b58688396
Autor:
Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Field, Hyeju Jang, Gabriel Murray
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-17
There has been increasing interest in non-invasive predictors of Alzheimer's disease (AD) as an initial screen for this condition. Previously, successful attempts leveraged eye-tracking and language data generated during picture narration and reading
Autor:
Heidi S. Donovan, Giuseppe Carenini, Teresa Hagan Thomas, Hyeju Jang, Grace Campbell, Young Ji Lee
Publikováno v:
Cancer Nursing. 45:E639-E645
Background Online health communities (OHCs) can be a source for clinicians to learn the needs of cancer patients and caregivers. Ovarian cancer (OvCa) patients and caregivers deal with a wide range of unmet needs, many of which are expressed in OHCs.
Autor:
Mina Park, Seung Yeon Kwon, Hyeseon Yun, Chuhl Joo Lyu, Jung Woo Han, Seung Min Hahn, Minkyu Jung, Sun Young Rha, Seung-Hoon Beom, Choong-Kun Lee, Hyeju Jang
Publikováno v:
Journal of adolescent and young adult oncology.
BACKGROUND The development and approval of COVID-19 vaccines have generated optimism for the end of the COVID-19 pandemic and a return to normalcy. However, vaccine hesitancy, often fueled by misinformation, poses a major barrier to achieving herd im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e00d1ae7a6f9dfef69bb8cdd6d72263c
https://doi.org/10.2196/preprints.35016
https://doi.org/10.2196/preprints.35016
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia S Field, Hyeju Jang
Publikováno v:
JMIR aging. 5(3)
Background Speech data for medical research can be collected noninvasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important, as there is v
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang
BACKGROUND Speech data for medical research can be collected non-invasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important as there is v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d348138f00121a76d2e661802956c0
https://doi.org/10.2196/preprints.33460
https://doi.org/10.2196/preprints.33460