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LeMe-PT: A Medical Package Leaflet Corpus for Portuguese

Authors Alberto Simões , Pablo Gamallo

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Author Details

Alberto Simões
  • 2Ai, School of Technology, IPCA, Barcelos, Portugal
Pablo Gamallo
  • Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), University of Santiago de Compostela, A Coruña, Spain

Funding

This project was partly funded by the project "NORTE-01-0145-FEDER-000045," supported by Northern Portugal Regional Operational Programme (Norte2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER), by Portuguese national funds (PIDDAC), through the FCT - Fundação para a Ciência e Tecnologia and FCT/MCTES under the scope of the project "UIDB/05549/2020", and through the IACOBUS program, managed by GNP and AECT. In addition, it has received financial support from DOMINO project (PGC2018-102041-B-I00, MCIU/AEI/FEDER, UE), eRisk project (RTI2018-093336-B-C21), the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016-2019, ED431G/08, Groups of Reference: ED431C 2020/21, and ERDF 2014-2020: Call ED431G 2019/04) and the European Regional Development Fund (ERDF).

Cite As Get BibTex

Alberto Simões and Pablo Gamallo. LeMe-PT: A Medical Package Leaflet Corpus for Portuguese. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 10:1-10:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/OASIcs.SLATE.2021.10

Abstract

The current trend on natural language processing is the use of machine learning. This is being done on every field, from summarization to machine translation. For these techniques to be applied, resources are needed, namely quality corpora. While there are large quantities of corpora for the Portuguese language, there is the lack of technical and focused corpora. Therefore, in this article we present a new corpus, built from drug package leaflets. We describe its structure and contents, and discuss possible exploration directions.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Information extraction
  • Computing methodologies → Language resources
Keywords
  • drug corpora
  • information extractiom
  • word embeddings

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Supplementary Materials

References

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