Mark Dredze
E857265
Mark Dredze is a computer scientist and researcher known for his work in natural language processing, machine learning, and applications of AI to public health and social media analysis.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mark Dredze canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | Johns Hopkins University NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt | University of Pennsylvania ⓘ |
| employer | Johns Hopkins University NERFINISHED ⓘ |
| fieldOfStudy | computer science ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational social science ⓘ information extraction ⓘ machine learning ⓘ natural language processing ⓘ public health informatics ⓘ social media analysis ⓘ speech and language processing ⓘ |
| hasPublishedIn |
ACL
NERFINISHED
ⓘ
EMNLP NERFINISHED ⓘ Journal of the American Medical Informatics Association NERFINISHED ⓘ KDD NERFINISHED ⓘ NAACL NERFINISHED ⓘ PLOS ONE NERFINISHED ⓘ WWW NERFINISHED ⓘ |
| hasResearchInterest |
clinical NLP
ⓘ
health communication ⓘ health misinformation ⓘ information extraction from noisy text ⓘ mental health detection from text ⓘ public health surveillance ⓘ sentiment analysis ⓘ social media mining ⓘ topic models ⓘ |
| knownFor |
applications of NLP to public health
ⓘ
health surveillance using social media ⓘ information extraction research ⓘ research on e-cigarettes using social media data ⓘ research on mental health signals in social media ⓘ research on vaccine attitudes in social media ⓘ social media data analysis ⓘ topic modeling research ⓘ work on Twitter data for public health ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | Johns Hopkins Center for Language and Speech Processing NERFINISHED ⓘ |
| notableFor |
early use of Twitter for health research
ⓘ
interdisciplinary work between NLP and public health ⓘ |
| occupation |
computer science researcher
ⓘ
professor ⓘ |
| workLocation | Baltimore NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.