Automatic discourse markers extractor

<p>This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to apply linguistic annotation on texts containing said markers. The next step involved the use of these annotations to fine-tune a model for the extraction of discourse markers task. This publication contains the fine-tuned model, i.e., the automatic extractor.</p>

<p>It is a roberta-bne model that was fine-tuned for the discourse markers extraction task. Texts annotated by linguists were used for fine-tuning as training data. Said texts contained discourse markers that were highlighted within their context.</p>