Casamayor, Gerard (Date of defense: 2021-04-26)
Text summarization deals with the automatic creation of summaries from one or more documents, either by extracting fragments from the input text or by generating an abstract de novo. Research in recent ...
Pérez-Mayos, Laura (Date of defense: 2022-06-15)
Pretrained Transformer-based language models have quickly replaced traditional approaches to model NLP tasks, pushing the state of the art to new levels, and will certainly continue to be very influential ...
Teixeira Fortuna, Paula Cristina (Date of defense: 2023-03-06)
The detection of hate speech in online spaces is traditionally conceptualized as a classification task that uses Machine Learning (ML)-driven Natural Language Processing (NLP) techniques. In accordance ...