Desarrollo y evaluación de herramientas basadas en Procesamiento de Lenguaje Natural e Inteligencia Artificial para el tratamiento de especificaciones técnicas y no técnicas con el fin de mejorar la calidad, extraer información y consolidar el conocimiento
Browsing Desarrollo y evaluación de herramientas basadas en Procesamiento de Lenguaje Natural e Inteligencia Artificial para el tratamiento de especificaciones técnicas y no técnicas con el fin de mejorar la calidad, extraer información y consolidar el conocimiento by Subject "deep learning models"
(Springer, Cham, 2025-6-19)
Tanevitch, Luciana; Antonelli, Ruben Leandro; Torres, Diego
A real estate observatory plays a significant role in the aggregation and
analysis of real estate market data. The information that lies in real estate advertisements can be leveraged to populate such an observatory. However, this data
can present itself in both a structured and an unstructured manner. Unstructured
data represents a problem to automatically process and extract information since
it lacks a predefined structure. Thus, there’s a need for techniques to give structure to unstructured data. Information Extraction (IE) is the process of structuring
data from unstructured data. Natural Language Processing techniques enable machines to understand texts, making them particularly significant in the context of
IE. This work evaluates both rule-based and machine-learning based IE approaches to extract features from real estate descriptions within advertisements.
Those features are relevant in the context of real estate observatory construction.
The performance of each approach is measured using precision, recall and f1-
score metrics.