Invited Speaker

Cícero dos Santos

Research Scientist at at Amazon
Natural Language Processing in the Age of Deep Representation Learning
 
Abstract
The ability to develop effective Natural Language Processing (NLP) systems free of handcrafted features has made of Deep Learning the most successful story in recent NLP research. At the core of this success is the use of deep distributed representations, which can be automatically learned in both supervised and self-supervised ways. In this talk, I will present some of my recent contributions on deep representation learning for NLP. These contributions are focused on novel neural network architectures, loss functions and training approaches, which have pushed the state-of-the-art in different tasks such as named entity recognition, sentiment analysis, question answering and text summarization.