Deep learning relies on massive training sets of labeled examples to learn from – often tens of thousands to millions to reach peak predictive performance. However, large amounts of training data are only available for very few standardized learning [mehr…]
Advances in information extraction have enabled the automatic construction of large knowledge graphs (KGs) like DBpedia, Freebase, YAGO and Wikidata. Learning rules from KGs is a crucial task for KG completion, cleaning and curation. This tutorial pr [mehr…]
This talk will take you on a journey into the world of speech enhancement, a realm that exists only to separate an acoustic target speech signal from noise, interfering speech or music. While classical approaches were typically quite heavy on the mat [mehr…]
Hallmarks of intelligence include the ability to acquire, represent, understand, and produce natural language. Although recent efforts in data-driven, machine learning, and deep learning methods have advanced natural language processing applications, [mehr…]
Diesen Mittwoch, am 13. Januar 2021, findet um 16 Uhr unser erster GSCL Tutorial Talk statt. Sprecher ist Prof. Dr. Casey Redd Kennington (Boise State University) zum Thema “Dialogue and Robots for Understanding Understanding”. Mehr Informationen hie [mehr…]
