LABAS-TS - A System for Assisting Labeling of Training Sets for Text Classification

Alejandro Sierra Múnera, Alexandra Pomares Quimbaya, Rafael Andrés González Rivera, Julián Camilo Daza Rodríguez, Oscar Mauricio Muñoz Velandia, Angel Alberto Garcia Peña

2017

Abstract

Most text classification techniques rely on the existence of training data sets that are required to build models. However, in many text classification projects, the availability of previously labeled texts is not frequent due to differences in language (e.g. Spanish), domain (e.g. healthcare) and regional or institutional written culture (e.g. specific hospital). In order to contribute to dealing with this problem, this paper presents LABAS-TS, a web-enabled system for assisting the open, collaborative labeling of training sets for text classification. LABAS-TS is framed within a named entity recognition approach that identifies important entities from a domain-specific corpus, based on gazetteers, and uses a language specific sentence analyzer that extracts the portions of text that should be annotated. LABAS-TS was evaluated in the generation of training data sets to classify whether an electronic health record text contains a diagnosis, a test or a procedure, and demonstrated its utility in reducing the required time for building a reliable training set, with an average of eleven seconds between two labels.

Paper Citation

in Harvard Style

Sierra Múnera A., Pomares Quimbaya A., Andrés González Rivera R., Daza Rodríguez J., Muñoz Velandia O. and Garcia Peña A. (2017). LABAS-TS - A System for Assisting Labeling of Training Sets for Text Classification.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-273-8, pages 174-180. DOI: 10.5220/0006504901740180

in Bibtex Style

@conference{kmis17,
author={Alejandro Sierra Múnera and Alexandra Pomares Quimbaya and Rafael Andrés González Rivera and Julián Camilo Daza Rodríguez and Oscar Mauricio Muñoz Velandia and Angel Alberto Garcia Peña},
title={LABAS-TS - A System for Assisting Labeling of Training Sets for Text Classification},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2017},
pages={174-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006504901740180},
isbn={978-989-758-273-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - LABAS-TS - A System for Assisting Labeling of Training Sets for Text Classification
SN - 978-989-758-273-8
AU - Sierra Múnera A.
AU - Pomares Quimbaya A.
AU - Andrés González Rivera R.
AU - Daza Rodríguez J.
AU - Muñoz Velandia O.
AU - Garcia Peña A.
PY - 2017
SP - 174
EP - 180
DO - 10.5220/0006504901740180