Vicomtech at BARR2: Detecting Biomedical Abbreviations with ML Methods and Dictionary-based Heuristics

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

@Article {
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},
}
Vicomtech

Parque Científico y Tecnológico de Gipuzkoa,
Paseo Mikeletegi 57,
20009 Donostia / San Sebastián (Spain)

+(34) 943 309 230

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