Leon Derczynski
28 SlideShares 59 Followers 69 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Aarhus, Denmark United Kingdom
Beruf
Research Fellow
Branche
Technology / Software / Internet
Webseite
derczynski.com/
Info
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
Kontaktdetails
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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