Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dane Bell"'
Autor:
Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Zechy Wong, Rebecca Sharp, Gus Hahn-Powell, Dane Bell
Publikováno v:
NAACL-HLT (Demonstrations)
Many of the most pressing current research problems (e.g., public health, food security, or climate change) require multi-disciplinary collaborations. In order to facilitate this process, we propose a system that incorporates multi-domain extractions
Publikováno v:
Interactive Journal of Medical Research
Background: Software designed to accurately estimate food calories from still images could help users and health professionals identify dietary patterns and food choices associated with health and health risks more effectively. However, calorie estim
Publikováno v:
Health communication. 34(6)
The risk perception attitude (RPA) framework was tested as a message tailoring strategy to encourage diabetes screening. Participants (N = 602) were first categorized into one of four RPA groups based on their diabetes risk and efficacy perceptions a
Autor:
Thomas Hicks, Enrique Noriega-Atala, Emek Demir, Marco Antonio Valenzuela-Escárcega, Özgün Babur, Clayton T. Morrison, Gus Hahn-Powell, Mihai Surdeanu, Dane Bell, Xia Wang
Publikováno v:
Database: The Journal of Biological Databases and Curation
PubMed, a repository and search engine for biomedical literature, now indexes >1 million articles each year. This exceeds the processing capacity of human domain experts, limiting our ability to truly understand many diseases. We present Reach, a sys
Autor:
Mihai Surdeanu, Terron Ishihara, Stephen G. Kobourov, Egoitz Laparra, Aditya Kousik, Dane Bell
Publikováno v:
Louhi@EMNLP
This work explores the detection of individuals’ risk of type 2 diabetes mellitus (T2DM) directly from their social media (Twitter) activity. Our approach extends a deep learning architecture with several contributions: following previous observati
Publikováno v:
Journal of Memory and Language. 85:1-14
The assumption that activation is cascaded implies that the semantic properties of all neighbors of the input word are activated to varying degrees. This assumption is tested using masked priming in a semantic categorization experiment, where the pri
BACKGROUND Software designed to accurately estimate food calories from still images could help users and health professionals identify dietary patterns and food choices associated with health and health risks more effectively. However, calorie estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5170d4d9cd9dcd80f0dd9848dca4dae
https://doi.org/10.2196/preprints.9359
https://doi.org/10.2196/preprints.9359
Publikováno v:
BioNLP@ACL
We propose an approach for biomedical information extraction that marries the advantages of machine learning models, e.g., learning directly from data, with the benefits of rule-based approaches, e.g., interpretability. Our approach starts by trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cd0e350b19f9326f23f667c082a272
Publikováno v:
BioNLP@ACL
Causal precedence between biochemical interactions is crucial in the biomedical domain, because it transforms collections of individual interactions, e.g., bindings and phosphorylations, into the causal mechanisms needed to inform meaningful search a
Publikováno v:
BigData Conference
We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many latent population characteristics can be directly predicted from this