Vicomtech at BARR2: Detecting Biomedical Abbreviations with ML Methods and Dictionary-based Heuristics
Authors:
Date: 18.09.2018
Abstract
This paper presents the system developed by Vicomtech to participate in the Second Biomedical Abbreviation Recognition and Resolution (BARR2) track. For this purpose, we have used simple machine learning approaches on annotated electronic health records and the datasets provided in the track. The machine learning approaches have been tested individually and in combination with heuristics based on a dictionary of biomedical abbreviations adapted for the task.
BIB_text
title = {Vicomtech at BARR2: Detecting Biomedical Abbreviations with ML Methods and Dictionary-based Heuristics},
pages = {322-328},
keywds = {
Biomedical, NLP, NER, Abbreviations
}
abstract = {
This paper presents the system developed by Vicomtech to participate in the Second Biomedical Abbreviation Recognition and Resolution (BARR2) track. For this purpose, we have used simple machine learning approaches on annotated electronic health records and the datasets provided in the track. The machine learning approaches have been tested individually and in combination with heuristics based on a dictionary of biomedical abbreviations adapted for the task.
}
date = {2018-09-18},
}
