Pre-processing of the Text of ECU 911 Emergency Calls


Abstract:

The function of the Integrated Security Service (ECU 911) is to receive emergency calls and coordinate the response through various emergency services. These interactions are recorded and stored as a backup of each call. The present research proposes the pre-processing of the text contained in said calls through the application of selected text formalization techniques, such as the use of dictionaries of idioms, consultation in the Dictionary of the Royal Spanish Academy (RAE), the use of spell checkers and Named Entity Recognition (NER). A bitmap is proposed as an auxiliary tool to facilitate decision-making and correct formalization during the formalization process. Finally, the score obtained by a semantic comparison model is evaluated, in which the informal transcribed text of the calls is compared with the formalized text to determine whether the formalization of text improves the performance of the Artificial Intelligence models The results demonstrated that performance was improved or maintained in 74% of the test cases thanks to the combination of these techniques. .

Año de publicación:

2025

Keywords:

  • Emergency calls
  • Named entity recognition
  • Natural Language processing
  • Text Formalization
  • TEXT MINING

Fuente:

scopusscopus
orcidorcid

Tipo de documento:

Other

Estado:

Acceso restringido

Áreas de conocimiento:

  • Análisis de datos
  • Salud Pública
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Métodos informáticos especiales
  • Programación informática, programas, datos, seguridad
  • Otros problemas y servicios sociales
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 16: Paz, justicia e instituciones sólidas
  • ODS 10: Reducción de las desigualdades
  • ODS 4: Educación de calidad
Procesado con IAProcesado con IA