Sumithra Velupillai - List of Publications

Gkotsis et al., 2016. The language of mental health problems in social media.
In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, Association for Computational Linguistics, pp 63--73, San Diego, CA, USA.
Gkotsis et al., 2016. Don`t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records.
In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, Association for Computational Linguistics, pp 95--105, San Diego, CA, USA.
AAl Abdulsalam et al., 2016. UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text.
In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016, Association for Computational Linguistics, pp 1256--1262, San Diego, California.
Mowery et al., 2016. Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.
Journal of Biomedical Semantics, Volume 7, Issue 1, BioMed Central, pp 1.
Grigonyt\.e, 2016. Swedification patterns of Latin and Greek affixes in clinical text.
Nordic Journal of Linguistics, Volume 39, Issue 01, Cambridge University Press, pp 5--37.
Velupillai et al., 2015. Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes.
In AMIA 2015 Proceedings, American Medical Informatics Association, pp 1252--1259, San Francisco, USA.
Kalyanam et al., 2015. Facts and Fabrications about Ebola: A Twitter Based Study.
In Proc. ACM KDD Workshop on Connected Health in Big Data Era, Sydney, Australia. Awarded best paper of ACM KDD Workshop on Connected Health in Big Data Era 2015.
Velupillai et al., 2015. BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge.
In Proceedings of the 9th International Workshop on Semantic Evaluation - SemEval 2015, Association for Computational Linguistics, pp 814--818, Denver, Colorado.
Dalianis et al., 2015. HEALTH BANK - A Workbench for Data Science Applications in Healthcare.
In Proceedings of the CAiSE-2015 Industry Track co-located with the 27th Conference on Advanced Information Systems Engineering - CAiSE 2015, CEUR, pp 1--18, Stockholm, Sweden.
Velupillai et al., 2015. Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis.
IMIA Yearbook of Medical Informatics, Volume 10, pp 183--193.
Velupillai et al., 2015. Louhi 2014: Special issue on health text mining and information analysis.
BMC Medical Informatics and Decision Making, Volume 15, Issue Suppl. 2.
Velupillai et al., 2014. Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014.
In Proceedings of AMIA 2014, American Medical Informatics Association, Washington, DC.
Mowery et al., 2014. Task 2: ShARe/CLEF eHealth Evaluation Lab 2014.
In Cappellato, L. and Ferro, N. and Halvey, M. and Kraaij, W., editor, CLEF2014 Working Notes, Volume 1180, CEUR-WS, pp 31--42.
Lövestam et al., 2014. Abbreviations in Swedish Clinical Text - use by three professions.
Studies in Health Technology and Informatics, Volume 205, pp 720--724.
Velupillai, 2014. Temporal Expressions in Swedish Medical Text -- A Pilot Study.
In Proceedings of BioNLP 2014, Association for Computational Linguistics, pp 88--92, Baltimore, Maryland.
Mowery et al., 2014. Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List.
In Proceedings of BioNLP 2014, Association for Computational Linguistics, pp 54--58, Baltimore, Maryland.
Grigonyte et al., 2014. Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results.
In Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations -- PITR, Association for Computational Linguistics, pp 74--83, Gothenburg, Sweden.
Velupillai et al., 2014. Cue-based assertion classification for Swedish clinical text -- Developing a lexicon for pyConTextSwe.
Artificial Intelligence in Medicine, Volume 61, pp 137--144.
Smith et al., 2014. Professional language in Swedish clinical text: Linguistic characterization and comparative studies.
Nordic Journal of Linguistics, Volume 2, pp 297--327.
Kvist & Velupillai, 2014. SCAN: A Swedish Clinical Abbreviation Normalizer.
In Kanoulas, Evangelos and Lupu, Mihai and Clough, Paul and Sanderson, Mark and Hall, Mark and Hanbury, Allan and Toms, Elaine, editor, Information Access Evaluation. Multilinguality, Multimodality, and Interaction, Volume 8685, Springer International Publishing, pp 62-73.
Kelly et al., 2014. Overview of the ShARe/CLEF eHealth Evaluation Lab 2014.
In Kanoulas, Evangelos and Lupu, Mihai and Clough, Paul and Sanderson, Mark and Hall, Mark and Hanbury, Allan and Toms, Elaine, editor, Information Access Evaluation. Multilinguality, Multimodality, and Interaction, Volume 8685, Springer International Publishing, pp 172-191.
Svee et al., 2013. Capturing and Representing Values for Requirements of Personal Health Records.
In Grabis, J. and Kirikova, M. and Zdravkovic, J. and Stirna, J., editor, Short Paper Proceedings of the 6th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2013, Volume 1023, CEUR-WS, pp 166--175.
Suominen et al., 2013. Overview of the ShARe/CLEF eHealth Evaluation Lab 2013.
In Forner, Pamela and Muller, Henning and Paredes, Roberto and Rosso, Paolo and Stein, Benno, editor, Information Access Evaluation. Multilinguality, Multimodality, and Visualization. 4th International Conference of the CLEF Initiative, CLEF 2013, Valencia, Spain, September 23-26, 2013. Proceedings, Volume 8138 2013, Springer, pp 212--231.
Velupillai et al., 2013. Functions for Personal Health Records in Sweden -- Patient Perspectives.
In Proceedings of the Scandinavian Conference on Health Informatics 2013, Linköping University Electronic Press, Linköpings universitet, Copenhagen, Denmark.
Kvist & Velupillai, 2013. Professional Language in Swedish Radiology Reports -- Characterization for Patient-Adapted Text Simplification.
In Proceedings of the Scandinavian Conference on Health Informatics 2013, Linköping University Electronic Press, Linköpings universitet, Copenhagen, Denmark.
Chapman et al., 2013. Extending the NegEx Lexicon for Multiple Languages.
Studies in Health Technology and Informatics, Volume 192, pp 677--681.
Tanushi et al., 2013. Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg.
In Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013) NEALT Proceedings Series 16, Oslo, Norway.
Velupillai et al., 2013. Porting a Rule-based Assertion Classifier for Clinical Text from English to Swedish.
In Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis - Louhi 2013, Sydney, Australia.
Isenius et al., 2012. Initial Results in the Development of SCAN: a Swedish Clinical Abbreviation Normalizer.
In Proceedings of the CLEF 2012 Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis - CLEFeHealth2012, CLEF, Rome, Italy.
Mowery et al., 2012. Medical diagnosis lost in translation -- Analysis of uncertainty and negation expressions in English and Swedish clinical texts.
In BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, Association for Computational Linguistics, pp 56--64, Montreal, Canada.
Velupillai, 2012. Shades of Certainty -- Annotation and Classification of Swedish Medical Records.
Doctoral thesis, Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
Velupillai & Kvist, 2012. Fine-grained Certainty Level Annotations Used for Coarser-grained E-health Scenarios -- Certainty Classification of Diagnostic Statements in Swedish Clinical Text.
In A. F. Gelbukh, editor, Computational Linguistics and Intelligent Text Processing. 13th International Conference, CICLing 2012, Part II, Volume 7182, Springer, pp 450--461, New Delhi, India.
Velupillai, 2011. Automatic Classification of Factuality Levels -- A Case Study on Swedish Diagnoses and the Impact of Local Context.
In Proc. The Fourth International Symposium on Languages in Biology and Medicine -- LBM 2011, Singapore.
Velupillai et al., 2011. Factuality Levels of Diagnoses in Swedish Clinical Text.
In A. Moen and S. K. Andersen and J. Aarts and P. Hurlen, editor, Proc. XXIII International Conference of the European Federation for Medical Informatics -- User Centred Networked Health Care, IOS Press, pp 559 -- 563, Oslo.
Kvist et al., 2011. Modeling human comprehension of Swedish medical records for intelligent access and summarization systems, a physician`s perspective.
In Proc. 9th Scandinavian Conference on Health Informatics, SHI, Oslo.
Allvin et al., 2011. Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.
Journal of Biomedical Semantics, Volume 2(Suppl 3):S1, doi:10.1186/2041-1480-2-S3-S1.
Hassel et al., 2011. Something Old, Something New -- Applying a Pre-trained Parsing Model to Clinical Swedish.
In Proc. 18th Nordic Conf. on Comp. Ling. - NODALIDA `11.
Velupillai, 2010. Semantic annotations in clinical documentation: exploring potentials for future information retrieval.
In Proceedings of the third workshop on Exploiting semantic annotations in information retrieval, ACM, pp 9--10, New York, NY, USA.
Velupillai, 2010. Towards A Better Understanding of Uncertainties and Speculations in Swedish Clinical Text - Analysis of an Initial Annotation Trial.
In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, University of Antwerp, pp 14--22, Uppsala, Sweden.
Henriksson & Velupillai, 2010. Levels of Certainty in Knowledge-Intensive Corpora: An Initial Annotation Study.
In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, University of Antwerp, pp 41--45, Uppsala, Sweden.
Täckström et al., 2010. Uncertainty Detection as Approximate Max-Margin Sequence Labelling.
In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, Association for Computational Linguistics, pp 84--91, Uppsala, Sweden.
Allvin et al., 2010. Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives.
In Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents, Association for Computational Linguistics, pp 53--60, Los Angeles, California, USA.
Dalianis & Velupillai, 2010. How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations.
In Proceedings of the of the Seventh International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta.
Dalianis & Velupillai, 2010. De-identifying Swedish Clinical Text - Refinement of a Gold Standard and Experiments with Conditional Random Fields.
Journal of Biomedical Semantics, Volume 1, Issue 6.
Velupillai et al., 2010. Finding the Parallel: Automatic Dictionary Construction and Identification of Parallel Text Pairs.
In Xiao, Richard, editor, Using Corpora in Contrastive and Translation Studies, Cambridge Scholars Publishing, pp 312-336, . ISBN(13): 978-1-4438-1755-4, ISBN(10): 1-4438-1755-4.
Dalianis & Velupillai, 2009. De-identifying Swedish Clinical Text - Refinement of a Gold Standard and Experiments with Conditional Random Fields.
In Proceedings of The 3rd International Symposium on Languages in Biology and Medicine - LBM `09, Seogwipo-si, Jeju Island, South Korea.
Dalianis et al., 2009. Is De-identification of Electronic Health Records Possible? OR Can We Use Health Record Corpora for Research?.
In Panel at Virtual Healthcare Interaction - VHI 09, Association for the Advancement of Artificial Intelligence, Technical Report FS-09-07, pp 2-3, Arlington, VA, USA.
Dalianis et al., 2009. The Stockholm EPR Corpus - Characteristics and Some Initial Findings.
In Proceedings of ISHIMR 2009, Evaluation and implementation of e-health and health information initiatives: international perspectives. 14th International Symposium for Health Information Management Research, Kalmar, Sweden. Awarded best paper.
Velupillai, 2009. Swedish Health Data - Information Access and Representation.
Licentiate thesis, Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
Velupillai et al., 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.
Int. J. Med. Inform. (2009), doi:10.1016/j.ijmedinf.2009.04.005, Volume 78, Issue 12, pp 19--26.
Samuelsson et al., 2008. Evaluation of local features for argument identification and classification for semantic role labeling.
In Proceedings of The Second Swedish Language Technology Conference - SLTC-08, pp 2, Stockholm, Sweden.
Velupillai et al., 2008. Diagnosing Diagnoses in Swedish Clinical Records.
In Karsten, H. and Back, B. and Salakoski, T. and Salanterä, S. a, editor, Proceedings of LOUHI `08 - The First Conference on Text and Data Mining of Clinical Documents, pp 110--112, Turku, Finland.
Velupillai et al., 2008. Automatic Dictionary Construction and Identification of Parallel Text Pairs.
In Proceedings of UCCTS`08 - The international symposium on Using Corpora in Contrastive and Translation Studies, Hangzhou, China.
Velupillai & Dalianis, 2008. Automatic Construction of Domain-specific Dictionaries on Sparse Parallel Corpora in the Nordic languages.
In Coling 2008: Proceedings of the workshop Multi-source Multilingual Information Extraction and Summarization, Coling 2008 Organizing Committee, pp 10--16, Manchester, UK.
Samuelsson et al., 2008. Mixing and blending syntactic and semantic dependencies.
In Proceedings of CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, Manchester, England. Publisher: Coling 2008 Organizing Committee. Pages: 248 - 252.
Rosell & Velupillai, 2008. Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation.
In European Language Resources Association (ELRA, editor, Proc. of the 6th Int. Language Resources and Evaluation - LREC`08.
Rosell & Velupillai, 2005. The Impact of Phrases in Document Clustering for Swedish.
In Proc. 15th Nordic Conf. on Comp. Ling. - NODALIDA `05.

All references are also available as BibTeX file(s): sumithra.bib
The PHP code used to generate this page can be used freely.