Sumithra Velupillai
Sumithra Velupillai
KTH, Stockholm and King's College, London
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TitleCited byYear
Overview of the ShARe/CLEF eHealth evaluation lab 2013
H Suominen, S Salanterä, S Velupillai, WW Chapman, G Savova, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2013
Overview of the share/clef ehealth evaluation lab 2014
L Kelly, L Goeuriot, H Suominen, T Schreck, G Leroy, DL Mowery, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2014
Extending the NegEx lexicon for multiple languages
WW Chapman, D Hilert, S Velupillai, M Kvist, M Skeppstedt, BE Chapman, ...
Studies in health technology and informatics 192, 677, 2013
The Stockholm EPR Corpus-characteristics and some initial findings
H Dalianis, M Hassel, S Velupillai
Proceedings of ISHIMR, 243-249, 2009
Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trial
S Velupillai, H Dalianis, M Hassel, GH Nilsson
International journal of medical informatics 78 (12), e19-e26, 2009
Characterisation of mental health conditions in social media using Informed Deep Learning
G Gkotsis, A Oellrich, S Velupillai, M Liakata, TJP Hubbard, RJB Dobson, ...
Scientific reports 7, 45141, 2017
Recent advances in clinical natural language processing in support of semantic analysis
S Velupillai, D Mowery, BR South, M Kvist, H Dalianis
Yearbook of medical informatics 24 (01), 183-193, 2015
Clinical natural language processing in languages other than english: opportunities and challenges
A Névéol, H Dalianis, S Velupillai, G Savova, P Zweigenbaum
Journal of biomedical semantics 9 (1), 12, 2018
De-identifying Swedish clinical text-refinement of a gold standard and experiments with Conditional random fields
H Dalianis, S Velupillai
Journal of biomedical semantics 1 (1), 6, 2010
The language of mental health problems in social media
G Gkotsis, A Oellrich, T Hubbard, R Dobson, M Liakata, S Velupillai, ...
Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016
Task 2: ShARe/CLEF eHealth evaluation lab 2014
DL Mowery, S Velupillai, BR South, L Christensen, D Martinez, L Kelly, ...
Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies
H Allvin, E Carlsson, H Dalianis, R Danielsson-Ojala, V Daudaravičius, ...
Journal of Biomedical Semantics 2 (3), S1, 2011
Don’t let notes be misunderstood: a negation detection method for assessing risk of suicide in mental health records
G Gkotsis, S Velupillai, A Oellrich, H Dean, M Liakata, R Dutta
Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016
Cue-based assertion classification for Swedish clinical text—Developing a lexicon for pyConTextSwe
S Velupillai, M Skeppstedt, M Kvist, D Mowery, BE Chapman, H Dalianis, ...
Artificial intelligence in medicine 61 (3), 137-144, 2014
HEALTH BANK-A Workbench for Data Science Applications in Healthcare.
H Dalianis, A Henriksson, M Kvist, S Velupillai, R Weegar
CAiSE Industry Track, 1-18, 2015
Blulab: Temporal information extraction for the 2015 clinical tempeval challenge
S Velupillai, DL Mowery, S Abdelrahman, L Christensen, W Chapman
Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015
Shades of certainty: annotation and classification of swedish medical records
S Velupillai
Department of Computer and Systems Sciences, Stockholm University, 2012
Improving readability of Swedish electronic health records through lexical simplification: First results
G Grigonyte, M Kvist, S Velupillai, M Wirén
Proceedings of the 3rd Workshop on Predicting and Improving Text Readability …, 2014
Factuality levels of diagnoses in Swedish clinical text.
S Velupillai, H Dalianis, M Kvist
MIE, 559-563, 2011
UtahBMI at SemEval-2016 task 12: extracting temporal information from clinical text
AAA Abdulsalam, S Velupillai, S Meystre
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
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