Mille, Simon (Date of defense: 2014-07-25)
The present Ph.D. thesis addresses the problem of deep data-driven Natural Language Generation (NLG), and in particular the role of proper corpus annotation schemata for stochastic sentence realization. ...
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 ...
Soler Company, Juan (Date of defense: 2017-07-06)
Author profiling and identification are two areas of data-driven computational linguistics that have gained a lot of relevance due to their potential applications in, e.g., forensic linguistic studies, ...