NLPExplorer

Sumithra Velupillai

Number of Papers:- 30

Number of Citations:- 30

First ACL Paper:- 2006

Latest ACL Paper:- 2020

Venues:-

NAACL

PITR

ClinicalNLP

BioNLP

NeSp-NLP

CLPsych

CoNLL

ACL

NoDaLiDa

*SEMEVAL

EMNLP

Louhi

LREC

Co-Authors:-

Similar Authors:-

Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach ClinicalNLP EMNLP

Relative and Incomplete Time Expression Anchoring for Clinical Text ClinicalNLP EMNLP

Louise Dupuis | Nicol Bergou | Hegler Tissot | Sumithra Velupillai |

Exploring Transformer Text Generation for Medical Dataset Augmentation LREC

Ali Amin-Nejad | Julia Ive | Sumithra Velupillai |

Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour LREC

Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records LREC

Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions ACL WS

Natalia Viani | Hegler Tissot | Ariane Bernardino | Sumithra Velupillai |

Is artificial data useful for biomedical Natural Language Processing algorithms? ACL WS

Zixu Wang | Julia Ive | Sumithra Velupillai | Lucia Specia |

Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health CLPsych NAACL WS

Time Expressions in Mental Health Records for Symptom Onset Extraction EMNLP WS

UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text *SEMEVAL

Abdulrahman Khalifa | Sumithra Velupillai | Stephane Meystre |

The language of mental health problems in social media WS

Don’t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records WS

Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes BioNLP WS

BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge *SEMEVAL

Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi) Louhi WS

Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results PITR WS

Gintarė Grigonyte | Maria Kvist | Sumithra Velupillai | Mats Wirén |

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List BioNLP WS

Temporal Expressions in Swedish Medical Text – A Pilot Study BioNLP WS

Sumithra Velupillai |

Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg NoDaLiDa WS

Medical diagnosis lost in translation – Analysis of uncertainty and negation expressions in English and Swedish clinical texts BioNLP WS

Danielle L Mowery | Sumithra Velupillai | Wendy W Chapman |

Something Old, Something New – Applying a Pre-trained Parsing Model to Clinical Swedish NoDaLiDa WS

Martin Duneld | Aron Henriksson | Sumithra Velupillai |

How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations LREC

Hercules Dalianis | Sumithra Velupillai |

Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives Louhi WS

Uncertainty Detection as Approximate Max-Margin Sequence Labelling CoNLL WS

Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial NeSp-NLP WS