Machine learning libraries offer developers and data scientists resources to build, deploy and train models that incorporate data sets to generate predictions and take specific actions. Models employ ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

Our faculty are engaged in research projects ranging from language documentation and morphological analysis to semantic analysis to Biomedical Informatics. We are also currently working on an ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...

Deriving meaning from and conveying information through natural language is a fundamental human ability. As computers advance, they are beginning to understand and share natural language with humans ...