Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Yves Peirsman

Yves Peirsman
Founder and NLP Expert, NLP Town

Website

Yves Peirsman is the founder and natural language processing expert at NLP Town. Yves started his career as a PhD student at the University of Leuven and a postdoctoral researcher at Stanford University. Since he made the move from academia to industry, he has gained extensive experience in consultancy and software development for NLP projects in Belgium and abroad.

Sessions

12:05–12:45 Wednesday, 1 May 2019
Dealing with data scarcity in natural language processing
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Text and Language processing and analysis
Yves Peirsman (NLP Town)
Average rating: ****.
(4.57, 7 ratings)
In this age of big data, NLP professionals are all too often faced with a lack of data: written language is abundant, but labeled text is much harder to come by. Yves Peirsman outlines the most effective ways of addressing this challenge, from the semiautomatic construction of labeled training data to transfer learning approaches that reduce the need for labeled training examples. Read more.