Figure An illustration of the pipeline used in this work. First, we identified section headings in XML files using regexes and created a corpus with sentences separated according to the labels in the table (explained in subsection 2.2). Afterward, we applied regexes to extract information depending on the section sentences were removed. When gathering numerical and categorical data in long spans of sentences, we used chatGPT API to evaluate whether the information was correctly extracted. Additionally, we combined the content spread over different sections of the same article by the files' ID to gain a broader understanding of the literature in this field.