The workshop will take place tentatively on August 05, 2022, on Zoom and Youtube Livestreaming
About The Data Science Summer School
The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems today. It is organized by the Hertie School Data Science Lab with funding and support from the Hertie School.
In recent years, the transformer architecture has proved to be revolutionary in the field of Deep Learning by outperforming the classical Recurrent Neural Networks and Convolutional Neural Networks models in a multitude of tasks. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in detail this exciting deep learning technique for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.
[Syllabus to be updated soon]
Maria Antoniak is currently a PhD candidate in Information Science at Cornell University. She is also a Young Investigator at the Allen Institute for AI on the Semantic Scholar team. She has a master’s degree in Computational Linguistics from the University of Washington and has worked as a research intern at places like Microsoft Research, Twitter Cortex, Facebook Core Data Science, and Pacific Northwest National Laboratory.
Schedule (Central European Summer Time - CEST)
Transformers in Natural Language Processing (Part I)
Transformers in Natural Language Processing (Part II)