Name: Talk: "Transfer Learning for NLP" by Sebastian Ruder
Start: 2017-05-31T17:00:00+02:00
End: 2017-05-31T20:00:00+02:00
Location: KUA 2

Abstract

Largely driven by Deep Learning, over the course of the last few years, we have become more adept at training our models to map from inputs to outputs with high precision. Our models break down, however, if the task or the data even slightly change and we are still at the beginning of learning how to transfer acquired knowledge. In this talk, I will give an overview of transfer learning and look into its applications and promises for NLP.

Speaker Bio

Sebastian is a 2nd year PhD Student in Natural Language Processing and Deep Learning at the Insight Research Centre for Data Analytics, Dublin, Ireland and a research scientist at Dublin-based text analytics startup AYLIEN. He is currently visiting the NLP group at the University of Copenhagen. He previously studied Computational Linguistics at the University of Heidelberg, Germany and at Trinity College, Dublin. During his studies, he's worked with Microsoft, IBM's Extreme Blue, Google Summer of Code, and SAP, among others.

Joachim Bingel

Natural Language Processing Copenhagen Meetup

Technology

Artificial Intelligence

Big Data

Natural Language Processing

Machine Learning

Data Mining

Machine Intelligence

Data Science

Talk: "Transfer Learning for NLP" by Sebastian Ruder

KUA 2

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Natural Language Processing Copenhagen Meetup

Talk: "Transfer Learning for NLP" by Sebastian Ruder

Natural Language Processing Copenhagen Meetup

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