The impact of phrases in document clustering for Swedish. - Magnus Rosell; Sumithra Velupillai (NODALIDA, 2005)

Mixing and Blending Syntactic and Semantic Dependencies. - Yvonne Samuelsson; Oscar Täckström; Sumithra Velupillai; Johan Eklund; Mark Fishel; Markus Saers (CoNLL, 2008)

Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation. - Magnus Rosell; Sumithra Velupillai (LREC, 2008)

Is De-identification of Electronic Health Records Possible? OR Can We Use Health Record Corpora for Research? - Hercules Dalianis; Gunnar H. Nilsson; Sumithra Velupillai (AAAI Fall Symposium: Virtual Healthcare Interaction, 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. - Sumithra Velupillai; Hercules Dalianis; Martin Hassel; Gunnar H. Nilsson (Int. J. Medical Informatics, 2009)

Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. - Helen Allvin; Elin Carlsson; Hercules Dalianis; Riitta Danielsson-Ojala; Vidas Daudaravicius; Martin Hassel; Dimitrios Kokkinakis; Heljä Lundgrén-Laine; Gunnar H. Nilsson; Øystein Nytrø; Sanna Salanterä; Maria Skeppstedt; et al. (Louhi@NAACL-HLT, 2010)

Levels of certainty in knowledge-intensive corpora: an initial annotation study. - Aron Henriksson; Sumithra Velupillai (NeSp-NLP@ACL, 2010)

Towards a better understanding of uncertainties and speculations in Swedish clinical text - Analysis of an initial annotation trial. - Sumithra Velupillai (NeSp-NLP@ACL, 2010)

Semantic annotations in clinical documentation: exploring potentials for future information retrieval. - Sumithra Velupillai (ESAIR, 2010)

Uncertainty Detection as Approximate Max-Margin Sequence Labelling. - Oscar Täckström; Sumithra Velupillai; Martin Hassel; Gunnar Eriksson; Hercules Dalianis; Jussi Karlgren (CoNLL Shared Task, 2010)

How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations. - Hercules Dalianis; Sumithra Velupillai (LREC, 2010)

De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields. - Hercules Dalianis; Sumithra Velupillai (J. Biomed. Semant., 2010)

Factuality Levels of Diagnoses in Swedish Clinical Text. - Sumithra Velupillai; Hercules Dalianis; Maria Kvist (MIE, 2011)

Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish. - Martin Duneld; Aron Henriksson; Sumithra Velupillai (NODALIDA, 2011)

Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. - Helen Allvin; Elin Carlsson; Hercules Dalianis; Riitta Danielsson-Ojala; Vidas Daudaravicius; Martin Hassel; Dimitrios Kokkinakis; Heljä Lundgrén-Laine; Gunnar H. Nilsson; Øystein Nytrø; Sanna Salanterä; Maria Skeppstedt; et al. (J. Biomed. Semant., 2011)

Louhi 2010: Special issue on Text and Data Mining of Health Documents. - Hercules Dalianis; Martin Hassel; Sumithra Velupillai (J. Biomed. Semant., 2011)

Medical diagnosis lost in translation - Analysis of uncertainty and negation expressions in English and Swedish clinical texts. - Danielle L. Mowery; Sumithra Velupillai; Wendy W. Chapman (BioNLP@HLT-NAACL, 2012)

Fine-Grained Certainty Level Annotations Used for Coarser-Grained E-Health Scenarios - Certainty Classification of Diagnostic Statements in Swedish Clinical Text. - Sumithra Velupillai; Maria Kvist (CICLing (2), 2012)

Initial Results in the Development of SCAN A Swedish Clinical Abbreviation Normalizer. - Niklas Isenius; Sumithra Velupillai; Maria Kvist (CLEF (Online Working Notes/Labs/Workshop), 2012)

Shades of Certainty: Annotation and Classification of Swedish Medical Records. - Sumithra Velupillai (2012)

Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. - Hanna Suominen; Sanna Salanterä; Sumithra Velupillai; Wendy Webber Chapman; Guergana K. Savova; Noemie Elhadad; Sameer Pradhan; Brett R. South; Danielle L. Mowery; Gareth J. F. Jones; Johannes Leveling; Liadh Kelly; et al. (CLEF, 2013)

Capturing and Representing Values for Requirements of Personal Health Records. - Eric-Oluf Svee; Maria Kvist; Sumithra Velupillai (PoEM (Short Papers), 2013)

Extending the NegEx Lexicon for Multiple Languages. - Wendy Webber Chapman; Dieter Hillert; Sumithra Velupillai; Maria Kvist; Maria Skeppstedt; Brian E. Chapman; Mike Conway; Melissa Tharp; Danielle L. Mowery; Louise Deléger (MedInfo, 2013)

Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg. - Hideyuki Tanushi; Hercules Dalianis; Martin Duneld; Maria Kvist; Maria Skeppstedt; Sumithra Velupillai (NODALIDA, 2013)

Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results. - Gintare Grigonyte; Maria Kvist; Sumithra Velupillai; Mats Wirén (PITR@EACL, 2014)

Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014. - Sumithra Velupillai; Danielle L. Mowery; Lee M. Christensen; Noemie Elhadad; Sameer Pradhan; Guergana K. Savova; Wendy W. Chapman (AMIA, 2014)

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. - Danielle L. Mowery; Mindy K. Ross; Sumithra Velupillai; Stéphane M. Meystre; Janyce Wiebe; Wendy W. Chapman (BioNLP@ACL, 2014)

Temporal Expressions in Swedish Medical Text - A Pilot Study. - Sumithra Velupillai (BioNLP@ACL, 2014)

Overview of the ShARe/CLEF eHealth Evaluation Lab 2014. - Liadh Kelly; Lorraine Goeuriot; Hanna Suominen; Tobias Schreck; Gondy Leroy; Danielle L. Mowery; Sumithra Velupillai; Wendy W. Chapman; David Martínez 001; Guido Zuccon; João R. M. Palotti (CLEF, 2014)

SCAN: A Swedish Clinical Abbreviation Normalizer - Further Development and Adaptation to Radiology. - Maria Kvist; Sumithra Velupillai (CLEF, 2014)

Task 2: ShARe/CLEF eHealth Evaluation Lab 2014. - Danielle L. Mowery; Sumithra Velupillai; Brett R. South; Lee M. Christensen; David Martínez 001; Liadh Kelly; Lorraine Goeuriot; Noémie Elhadad; Sameer Pradhan; Guergana K. Savova; Wendy W. Chapman (CLEF (Working Notes), 2014)

Abbreviations in Swedish Clinical Text - use by three professions. - Elin Lövestam; Sumithra Velupillai; Maria Kvist (MIE, 2014)

Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. - Sumithra Velupillai; Maria Skeppstedt; Maria Kvist; Danielle L. Mowery; Brian E. Chapman; Hercules Dalianis; Wendy W. Chapman (Artif. Intell. Medicine, 2014)

Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. - Sumithra Velupillai; Danielle L. Mowery; Samir E. AbdelRahman; Lee M. Christensen; Wendy W. Chapman (AMIA, 2015)

HEALTH BANK - A Workbench for Data Science Applications in Healthcare. - Hercules Dalianis; Aron Henriksson; Maria Kvist; Sumithra Velupillai; Rebecka Weegar (CAiSE Industry Track, 2015)

BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge. - Sumithra Velupillai; Danielle L. Mowery; Samir E. AbdelRahman; Lee M. Christensen; Wendy W. Chapman (SemEval@NAACL-HLT, 2015)

Facts and Fabrications about Ebola: A Twitter Based Study. - Janani Kalyanam; Sumithra Velupillai; Son Doan; Mike Conway; Gert R. G. Lanckriet (CoRR, 2015)

Louhi 2014: Special issue on health text mining and information analysis. - Sumithra Velupillai; Martin Duneld; Aron Henriksson; Maria Kvist; Maria Skeppstedt; Hercules Dalianis (BMC Medical Informatics Decis. Mak., 2015)

Temporal Annotation of Swedish Intensive Care Notes. - Sumithra Velupillai; Rebecka Weegar; Maria Kvist (AMIA, 2016)

From event detection to storytelling on microblogs. - Janani Kalyanam; Sumithra Velupillai; Mike Conway; Gert R. G. Lanckriet (ASONAM, 2016)

Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. - Sumithra Velupillai; Danielle L. Mowery; Mike Conway; John F. Hurdle; Brent Kious (BioNLP@ACL, 2016)

The language of mental health problems in social media. - George Gkotsis; Anika Oellrich; Tim J. P. Hubbard; Richard J. B. Dobson; Maria Liakata; Sumithra Velupillai; Rina Dutta (CLPsych@HLT-NAACL, 2016)

Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records. - George Gkotsis; Sumithra Velupillai; Anika Oellrich; Harry Dean; Maria Liakata; Rina Dutta (CLPsych@HLT-NAACL, 2016)

UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text. - Abdulrahman Al Abdulsalam; Sumithra Velupillai; Stéphane M. Meystre (SemEval@NAACL-HLT, 2016)

Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. - Danielle L. Mowery; Brett R. South; Lee M. Christensen; Jianwei Leng; Laura-Maria Peltonen; Sanna Salanterä; Hanna Suominen; David Martínez 001; Sumithra Velupillai; Noémie Elhadad; Guergana Savova; Sameer Pradhan; et al. (J. Biomed. Semant., 2016)

Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records. - Johnny Downs; Sumithra Velupillai; George Gkotsis; Rachel Holden; Maxim Kikoler; Harry Dean; Andrea Fernandes; Rina Dutta (AMIA, 2017)

Clinical Natural Language Processing in Languages Other Than English. - Aurélie Névéol; Noémie Elhadad; Sumithra Velupillai; Hua Xu 001; Guergana Savova (AMIA, 2017)

Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health. - Julia Ive; George Gkotsis; Rina Dutta; Robert Stewart 002; Sumithra Velupillai (CLPsych@NAACL-HTL, 2018)

Time Expressions in Mental Health Records for Symptom Onset Extraction. - Natalia Viani; Lucia Yin; Joyce Kam; Ayunni Alawi; André Bittar; Rina Dutta; Rashmi Patel; Robert Stewart 002; Sumithra Velupillai (Louhi@EMNLP, 2018)

KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks. - Julia Ive; Natalia Viani; David Chandran; André Bittar; Sumithra Velupillai (CLEF (Working Notes), 2018)

Clinical Natural Language Processing in languages other than English: opportunities and challenges. - Aurélie Névéol; Hercules Dalianis; Sumithra Velupillai; Guergana Savova; Pierre Zweigenbaum (J. Biomed. Semant., 2018)

Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records. - Richard G. Jackson; Rashmi Patel; Sumithra Velupillai; George Gkotsis; David Hoyle; Robert Stewart 002 (F1000Research, 2018)

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. - Sumithra Velupillai; Hanna Suominen; Maria Liakata; Angus Roberts; Anoop D. Shah; Katherine Morley; David Osborn; Joseph Hayes; Robert Stewart 002; Johnny Downs; Wendy W. Chapman; Rina Dutta (J. Biomed. Informatics, 2018)

Generating Positive Psychosis Symptom Keywords from Electronic Health Records. - Natalia Viani; Rashmi Patel; Robert Stewart 002; Sumithra Velupillai (AIME, 2019)

Clinical Text Mining in Mental Health. - Jessica D. Tenenbaum; Ramakanth Kavuluru; Thomas H. McCoy; Özlem Uzuner; Sumithra Velupillai (AMIA, 2019)

Time Expression Annotation for Multiple Clinical Specialties. - Natalia Viani; Hegler Tissot; Ariane Bernardino; Sumithra Velupillai (AMIA, 2019)

Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions. - Natalia Viani; Hegler Tissot; Ariane Bernardino; Sumithra Velupillai (BioNLP@ACL, 2019)

Is artificial data useful for biomedical Natural Language Processing algorithms? - Zixu Wang; Julia Ive; Sumithra Velupillai; Lucia Specia (BioNLP@ACL, 2019)

Text Classification to Inform Suicide Risk Assessment in Electronic Health Records. - André Bittar; Sumithra Velupillai; Angus Roberts; Rina Dutta (MedInfo, 2019)

Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing. - Sumithra Velupillai; Sophie Epstein; André Bittar; Thomas Stephenson; Rina Dutta; Johnny Downs (MedInfo, 2019)

Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms. - Natalia Viani; Joyce Kam; Lucia Yin; Somain Verma; Robert Stewart 002; Rashmi Patel; Sumithra Velupillai (MedInfo, 2019)

Is artificial data useful for biomedical Natural Language Processing. - Zixu Wang; Julia Ive; Sumithra Velupillai; Lucia Specia (CoRR, 2019)

Knowledge patterns for online health portal development. - Andrea Andrenucci; Hercules Dalianis; Sumithra Velupillai (Health Informatics J., 2019)

Relative and Incomplete Time Expression Anchoring for Clinical Text. - Louise Dupuis; Nicol Bergou; Hegler Tissot; Sumithra Velupillai (ClinicalNLP@EMNLP, 2020)

Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach. - Zixu Wang; Julia Ive; Sinead Moylett; Christoph Mueller; Rudolf N. Cardinal; Sumithra Velupillai; John O'Brien; Robert Stewart 002 (ClinicalNLP@EMNLP, 2020)

Exploring Transformer Text Generation for Medical Dataset Augmentation. - Ali Amin-Nejad; Julia Ive; Sumithra Velupillai (LREC, 2020)

Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records. - Jaya Chaturvedi; Natalia Viani; Jyoti Sanyal; Chloe Tytherleigh; Idil Hasan; Kate Baird; Sumithra Velupillai; Robert Stewart 002; Angus Roberts (LREC, 2020)

Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour. - Xingyi Song; Johnny Downs; Sumithra Velupillai; Rachel Holden; Maxim Kikoler; Kalina Bontcheva; Rina Dutta; Angus Roberts (LREC, 2020)

Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories. - Sonia Priou; Natalia Viani; Veshalee Vernugopan; Chloe Tytherleigh; Faduma Abdalla Hassan; Rina Dutta; Trudie Chalder; Sumithra Velupillai (MIE, 2020)

Temporal information extraction from mental health records to identify duration of untreated psychosis. - Natalia Viani; Joyce Kam; Lucia Yin; André Bittar; Rina Dutta; Rashmi Patel; Robert Stewart 002; Sumithra Velupillai (J. Biomed. Semant., 2020)

Analysing Meso and Macro conversation structures in an online suicide support forum. - Sagar Joglekar 001; Sumithra Velupillai; Rina Dutta; Nishanth Sastry (CoRR, 2020)

Enhancing predictions of patient conveyance using emergency call handler free text notes for unconscious and fainting incidents reported to the London Ambulance Service. - Liam Tollinton; Alexander M. Metcalf; Sumithra Velupillai (Int. J. Medical Informatics, 2020)

Generation and evaluation of artificial mental health records for Natural Language Processing. - Julia Ive; Natalia Viani; Joyce Kam; Lucia Yin; Somain Verma; Stephen Puntis; Rudolf N. Cardinal; Angus Roberts; Robert Stewart 002; Sumithra Velupillai (npj Digit. Medicine, 2020)

Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach. - Mark Turner 011; Julia Ive; Sumithra Velupillai (CLEF, 2021)

Development of a Lexicon for Pain. - Jaya Chaturvedi; Aurelie Mascio; Sumithra Velupillai; Angus Roberts (Frontiers Digit. Health, 2021)

Evaluating physical urban features in several mental illnesses using electronic health record data. - Zahra Mahabadi; Maryam Mahabadi; Sumithra Velupillai; Angus Roberts; Philip K. McGuire; Zina M. Ibrahim; Rashmi Patel (Frontiers Digit. Health, 2022)

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. - Jaya Chaturvedi; Sumithra Velupillai; Robert Stewart 002; Angus Roberts (MedInfo, 2023)

Development of a Knowledge Graph Embeddings Model for Pain. - Jaya Chaturvedi; Tao Wang 036; Sumithra Velupillai; Robert Stewart 002; Angus Roberts (CoRR, 2023)

Sample Size in Natural Language Processing within Healthcare Research. - Jaya Chaturvedi; Diana Shamsutdinova; Felix Zimmer; Sumithra Velupillai; Daniel Stahl; Robert Stewart 002; Angus Roberts (CoRR, 2023)