@inproceedings{LucchesiEK22,
  author    = {La{\'e}rcio Lucchesi and Tatiana Escovedo and Marcos Kalinowski},
  title     = {Padroniza{\c{c}}{\~a}o da Descri{\c{c}}{\~a}o de Produtos Comerciais utilizando NER},
  abstract  = {Product descriptions of retail establishments are information used in market analysis, but normally, these descriptions are poorly structured, nonstandardized, and vary a lot for the same product. This article proposes the use of natural language processing techniques, more specifically, a branch known as NER (Named Entity Recognition), to solve the automatic generation of standardized descriptions from retail product descriptions. As a result, the trained model proved to be adequate to extract the characteristic information of new products launched on the market and the consequent construction of their standardized descriptions.},
  booktitle = {Brazilian Symposium on Databases, {SBBD} 2022, Buzios, Brazil, Sept 19-23},
  pages     = {1-6},
  year      = {2022},
  urlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/LucchesiEK22.pdf},  
  doi       = {10.5753/sbbd.2022.224347}
}

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