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QA Long Presentation III
Giuseppe Vietri · Daniel Palomino · María Belén Guaranda · Andres Carvallo

Mon Dec 07 03:51 PM -- 04:00 PM (PST) @

The papers for this session are:

Private Reinforcement Learning with PAC and Regret Guarantees Overcoming Transformer Fine-Tuning process to improve Twitter Sentiment Analysis for Spanish Dialects Detecting Damaged Regions after Natural Disasters using Mobile Phone Data: The Case of Ecuador Neural language models for text classification in evidence-based medicine

Author Information

Giuseppe Vietri (University of Minnesota)
Daniel Palomino (Universidad Católica San Pablo)

I'm working on the development of Deep Learning Techniques and Language Models using GPU distributed architecture that allow a more efficient extraction of data in problems related to Natural Language Processing, especially those related to the analysis of unstructured data like as opinion analysis or sentiment analysis remain in a low average development especially for languages such as Spanish and Portuguese. This work is enhanced with Cuda programming and Linux HPC environment with excellent results.

María Belén Guaranda (Escuela Superior Politécnica del Litoral)
Andres Carvallo (Pontificia Universidad Catolica de Chile)

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