15 citations · 21 across the 3 of their papers we have counts for
4 papers
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience
Isar Nejadgholi, Kathleen C. Fraser, Berry De Bruijn
When comparing entities extracted by a medical entity recognition system with gold standard annotations over a test set, two types of mismatches might occur, label mismatch or span…
Global Public Health Surveillance using Media Reports: Redesigning GPHIN
Dave Carter, Marta Stojanovic, Philip Hachey +4
Global public health surveillance relies on reporting structures and transmission of trustworthy health reports. But in practice, these processes may not always be fast enough, or…
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
Kathleen C. Fraser, Isar Nejadgholi, Berry De Bruijn +3
Entity recognition is a critical first step to a number of clinical NLP applications, such as entity linking and relation extraction. We present the first attempt to apply state-of…
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake
Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin +1
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 Workshop on Social Media Mining for Health Applications (SMM4H): Task 1 - classification of tweets mentionin…