A survey of information extraction based on deep learning
Y Yang, Z Wu, Y Yang, S Lian, F Guo, Z Wang - Applied Sciences, 2022 - mdpi.com
As a core task and an important link in the fields of natural language understanding and
information retrieval, information extraction (IE) can structure and semanticize unstructured …
information retrieval, information extraction (IE) can structure and semanticize unstructured …
A review of some techniques for inclusion of domain-knowledge into deep neural networks
We present a survey of ways in which existing scientific knowledge are included when
constructing models with neural networks. The inclusion of domain-knowledge is of special …
constructing models with neural networks. The inclusion of domain-knowledge is of special …
Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms
T Saravanan, T Jhaideep… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Depression is the leading cause of worldwide disability and is also a leading cause of
suicide. Depression has a significant impact on language use. We target the early diagnosis …
suicide. Depression has a significant impact on language use. We target the early diagnosis …
A computational approach to understand mental health from reddit: knowledge-aware multitask learning framework
Analyzing gender is critical to study mental health (MH) support in CVD (cardiovascular
disease). The existing studies on using social media for extracting MH symptoms consider …
disease). The existing studies on using social media for extracting MH symptoms consider …
[HTML][HTML] Detecting substance use disorder using social media data and the dark web: time-and knowledge-aware study
Background Opioid and substance misuse has become a widespread problem in the United
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …
" Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
With strong marketing advocacy of the benefits of cannabis use for improved mental health,
cannabis legalization is a priority among legislators. However, preliminary scientific …
cannabis legalization is a priority among legislators. However, preliminary scientific …
Drug resistance prediction and resistance genes identification in Mycobacterium tuberculosis based on a hierarchical attentive neural network utilizing genome-wide …
Z Jiang, Y Lu, Z Liu, W Wu, X Xu… - Briefings in …, 2022 - academic.oup.com
Prediction of antimicrobial resistance based on whole-genome sequencing data has
attracted greater attention due to its rapidity and convenience. Numerous machine learning …
attracted greater attention due to its rapidity and convenience. Numerous machine learning …
" Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
Opioid and substance misuse is rampant in the United States today, with the phenomenon
known as the" opioid crisis". The relationship between substance use and mental health has …
known as the" opioid crisis". The relationship between substance use and mental health has …
Domain knowledge-powered attention for air traffic management hazardous events classification
The automated classification of hazardous events in Air Traffic Management (ATM) involves
concise texts with specialized terminology. The problem is currently addressed by machine …
concise texts with specialized terminology. The problem is currently addressed by machine …
edarktrends: Harnessing social media trends in substance use disorders for opioid listings on cryptomarket
Opioid and substance misuse is rampant in the United States today, with the phenomenon
known as the opioid crisis. The relationship between substance use and mental health has …
known as the opioid crisis. The relationship between substance use and mental health has …