Machine Learning for Natural Language Understanding

Dear all,

Happy New Year everyone! I hope that 2017 brings you and your families joy, health, prosperity, optimism and hope.

On that note of positivity, I am excited to announce our very first event of the year that will take place next Monday, January 9th at 7pm. Our venue is once again the auditorium on the ground floor of ALBA Graduate Business School at The American College of Greece on Xenias street. Our speaker for the evening will be Andreas Vlachos from the University of Sheffield, who will be talking to us about his exciting research in natural language understanding.

I am really looking forward to seeing you there and to an exciting year ahead,

Miguel

Agenda

Machine learning for natural language understanding, Dr. Andreas Vlachos

In this talk, I will give an overview of my recent work on machine learning for natural language understanding. First, I will focus on a particular family of machine learning algorithms, imitation learning which allow us to handle a variety of NLP tasks. Second, I will discuss an application I am excited about, automated fact-checking, which I hope it will spur further progress in natural language processing and if successful it will help in creating a better informed society.

Andreas is a lecturer at the University of Sheffield, working on the intersection of Natural Language Processing and Machine Learning. Current projects include natural language generation, automated fact-checking and imitation learning. He has also published research on semantic parsing, language modelling, information extraction, active learning, clustering and biomedical text mining.