FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction

Gorjan Popovski, Stefan Kochev, Barbara Seljak, Tome Eftimov

Abstract

The application of Natural Language Processing (NLP) methods and resources to biomedical textual data has received growing attention over the past years. Previously organized biomedical NLP-shared tasks (such as, for example, BioNLP Shared Tasks) are related to extracting different biomedical entities (like genes, phenotypes, drugs, diseases, chemical entities) and finding relations between them. However, to the best of our knowledge there are limited NLP methods that can be used for information extraction of entities related to food concepts. For this reason, to extract food entities from unstructured textual data, we propose a rule-based named-entity recognition method for food information extraction, called FoodIE. It is comprised of a small number of rules based on computational linguistics and semantic information that describe the food entities. Experimental results from the evaluation performed using two different datasets showed that very promising results can be achieved. The proposed method achieved 97% precision, 94% recall, and 96% F1 score.

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Paper Citation


in Harvard Style

Popovski G., Kochev S., Seljak B. and Eftimov T. (2019). FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 915-922. DOI: 10.5220/0007686309150922


in Bibtex Style

@conference{icpram19,
author={Gorjan Popovski and Stefan Kochev and Barbara Seljak and Tome Eftimov},
title={FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={915-922},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007686309150922},
isbn={978-989-758-351-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction
SN - 978-989-758-351-3
AU - Popovski G.
AU - Kochev S.
AU - Seljak B.
AU - Eftimov T.
PY - 2019
SP - 915
EP - 922
DO - 10.5220/0007686309150922