Personal Information
Organization / Workplace
Aarhus, Denmark United Kingdom
Occupation
Research Fellow
Industry
Technology / Software / Internet
Website
derczynski.com/
About
Leon Derczynski is a scientific Research Associate, who finished a PhD in Temporal Information Extraction at the University in Sheffield in 2012 under an enhanced EPSRC doctoral training grant. His main interests are information extraction, spatio-temporal semantics and handling noisy linguistic data.
He has been working in commercial and academic research on NLP and IR since 2003 with focus on temporal relations, temporal and spatial information extraction, semantic annotation, usability and social media. He regularly guides teams through the TAC-KBP challenge, building complex information extraction and corroboration frameworks.
Leon contributes to ISO consortiums for spatio-tempor
Tags
natural language processing
computational linguistics
social media
linguistics
nlp
timeml
fake news
twitter
information extraction
artificial intelligence
temporal expressions
corpus linguistics
crowdsourcing
named entity recognition
annotation
machine learning
misinformation
false news
sprogteknologi
danish
dansk
demographics
best practice
data extraction
linked data
hypertext
big data
spatio-temporal
database
sentiment analysis
future
time and space
agile software development
question answering
trec
information retrieval
relevance feedback
wsd
esslli
word sense disambiguation
past tense
academic
tense
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