ICA2TEXTUn sistema para la descripción automática en lenguaje natural de series temporales de calidad del aire

  1. Andrea Cascallar-Fuentes 1
  2. Javier Gallego-Fernández 1
  3. Alejandro Ramos-Soto 1
  4. Anthony Saunders-Estévez 2
  5. Alberto Bugarín-Diz 1
  1. 1 Grupo de Sistemas Intelixentes, Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela
  2. 2 Rede de Calidade do Aire de Galicia, MeteoGalicia, Xunta de Galicia
Libro:
SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations
  1. Miguel A. Alonso (ed. lit.)
  2. Margarita Alonso-Ramos (ed. lit.)
  3. Carlos Gómez-Rodríguez (ed. lit.)
  4. David Vilares (ed. lit.)
  5. Jesús Vilares (ed. lit.)

Editorial: CEUR Workshop Proceedings

Ano de publicación: 2022

Páxinas: 62-65

Tipo: Capítulo de libro

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Resumo

In this project we describe ICA2TEXT, a data-to-text system to automatically generate textualdescriptions about air quality time series provided by MeteoGalicia. Assessment results by two experts meteorologists werevery satisfactory, which confirm that the proposed textual descriptions fit this type of data and service both in content and layout.This system is currently in a final testing phase and will be deployed as a public service on the MeteoGalicia website

Fonte de datos: Dialnet