Using natural language processing for identifying and interpreting tables in plain text (original) (raw)

This research presents a methodology for interpreting plain text tables in technical documents using natural language processing (NLP). The proposed approach relies on a detailed ontology of construction-related terms to facilitate the identification and extraction of table structures. The findings highlight the significance of table layout and linguistic characteristics in enhancing the automated understanding of tabular data, thereby improving information accessibility within the construction industry.