An Interactive Tool for Natural Language Processing on Clinical Text

no code implementations • 6 Jul 2017 • Gaurav Trivedi, Phuong Pham, Wendy Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser

Natural Language Processing (NLP) systems often make use of machine learning techniques that are unfamiliar to end-users who are interested in analyzing clinical records.

BIG-bench Machine Learning

Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians

no code implementations • WS 2016 • Brian E. Chapman, Danielle L. Mowery, Evan Narasimhan, Neel Patel, Wendy Chapman, Marta Heilbrun

BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge

no code implementations • SEMEVAL 2015 • Sumithra Velupillai, Danielle L. Mowery, Samir AbdelRahman, Lee Christensen, Wendy Chapman

Question Answering Relation Classification +1

SemEval-2015 Task 14: Analysis of Clinical Text

no code implementations • SEMEVAL 2015 • No{\'e}mie Elhadad, Sameer Pradhan, Sharon Gorman, Man, Suresh har, Wendy Chapman, Guergana Savova

Entity Linking Epidemiology +3

SemEval-2014 Task 7: Analysis of Clinical Text

no code implementations • SEMEVAL 2014 • Sameer Pradhan, No{\'e}mie Elhadad, Wendy Chapman, Man, Suresh har, Guergana Savova

Coreference Resolution Named Entity Recognition (NER) +1

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

no code implementations • WS 2014 • Danielle Mowery, Mindy Ross, Sumithra Velupillai, Stephane Meystre, Janyce Wiebe, Wendy Chapman

A Prototype Tool Set to Support Machine-Assisted Annotation

no code implementations • WS 2012 • Brett South, Shuying Shen, Jianwei Leng, Tyler Forbush, Scott DuVall, Wendy Chapman