Personal Information
Organización/Lugar de trabajo
Cambridge, United Kingdom United Kingdom
Ocupación
Principal Research Associate at the University of Cambridge
Sector
Education
Sitio web
sites.google.com/site/nhcollier/home
Acerca de
I am a Principal Research Associate in the Department of Theoretical and Applied Linguistics at the University of Cambridge and a Visiting Scientist at the European Bioinformatics Institute. My research is in the broad area of Natural Language Processing and Computational Linguistics and brings together computational techniques such as machine learning, syntactic parsing and concept understanding with the aim of providing a machine-understandable semantic representation of text. This is used to support real-world tasks, e.g. question answering and knowledge discovery from very large scale data sources such as the World Wide Web. I work in close collaboration with colleagues from computer ...
Etiquetas
text mining
natural language processing
nlp
health informatics
big data
social media
pharmacovigilence
bioinformatics
health
information extraction
semantic web
life science
medicine
sheffield
web mining
national institute of informatics
ontologies
disease alerting
nigel collier
social media analysis
multilingual
named entity recognition
event extraction
biocaster
disease outbreak
google maps
health monitoring
early warning
Ver más
Presentaciones
(6)Personal Information
Organización/Lugar de trabajo
Cambridge, United Kingdom United Kingdom
Ocupación
Principal Research Associate at the University of Cambridge
Sector
Education
Sitio web
sites.google.com/site/nhcollier/home
Acerca de
I am a Principal Research Associate in the Department of Theoretical and Applied Linguistics at the University of Cambridge and a Visiting Scientist at the European Bioinformatics Institute. My research is in the broad area of Natural Language Processing and Computational Linguistics and brings together computational techniques such as machine learning, syntactic parsing and concept understanding with the aim of providing a machine-understandable semantic representation of text. This is used to support real-world tasks, e.g. question answering and knowledge discovery from very large scale data sources such as the World Wide Web. I work in close collaboration with colleagues from computer ...
Etiquetas
text mining
natural language processing
nlp
health informatics
big data
social media
pharmacovigilence
bioinformatics
health
information extraction
semantic web
life science
medicine
sheffield
web mining
national institute of informatics
ontologies
disease alerting
nigel collier
social media analysis
multilingual
named entity recognition
event extraction
biocaster
disease outbreak
google maps
health monitoring
early warning
Ver más