Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana
Endorsed by Zachary Lipton, Sebastian Ruder & Marc Najork
Foreword by Julian McAuleyRead the testimonials
NLP without Annotated Data was course taught at SfS, Uni-Tuebingen in January 2021. It focuses on applying natural language processing techniquies with limited and no data. These slides are uploaded "as is", and hence are not polished for public consumption.
This is a master's level course where students examine the complexities of language phenomena and how to handle those using current NLP tools and scripting techniques.
This course provides the knowledge to construct and use deep neural networks for image and text analysis. The course starts from the basic concepts to understand, train and test neural networks for classification and regression. It introduces image analysis. In the sequence, it provides an introduction to text analysis and then covers Recurrent Neural Networks, Attention, Transformers and applications in text analysis.