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Disambiguation of "Velupillai, Sumithra"

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Initial Results in the Development of SCAN A Swedish Clinical Abbreviation Normalizer.

, , and . CLEF (Online Working Notes/Labs/Workshop), volume 1178 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)

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Sunand Sumithra

 

Other publications of authors with the same name

Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg., , , , , and . NODALIDA, volume 85 of Linköping Electronic Conference Proceedings, page 387-397. Linköping University Electronic Press, (2013)Is artificial data useful for biomedical Natural Language Processing algorithms?, , , and . BioNLP@ACL, page 240-249. Association for Computational Linguistics, (2019)Medical diagnosis lost in translation - Analysis of uncertainty and negation expressions in English and Swedish clinical texts., , and . BioNLP@HLT-NAACL, page 56-64. Association for Computational Linguistics, (2012)Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach., , and . CLEF, volume 12880 of Lecture Notes in Computer Science, page 129-141. Springer, (2021)Relative and Incomplete Time Expression Anchoring for Clinical Text., , , and . ClinicalNLP@EMNLP, page 117-129. Association for Computational Linguistics, (2020)Overview of the ShARe/CLEF eHealth Evaluation Lab 2014, , , , , , , , , and 1 other author(s). Proc. CLEF 2014, 8685, page 173-192. Springer LNCS, (2014)Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour., , , , , , , and . LREC, page 1303-1310. European Language Resources Association, (2020)From event detection to storytelling on microblogs., , , and . ASONAM, page 437-442. IEEE Computer Society, (2016)Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach., , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 695-699. IOS Press, (2023)Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records., , , , , and . F1000Research, (2018)