Happy to announce the next Machine Learning Meetup with Felix Hill, second year PhD Student in the Computer Laboratory's Natural Language and Information Processing.
This time we are back at The Crypt of St. James, in Clerkenwell.
Thanks to Morgan McKinley for the support which will allow us to network while eating pizza and drinking beer.
6.30: Welcome, pizzas, beers and networking. 7:15: Talk
It will follow Q&A and pub.
Modelling Language with Neural Nets
Deep neural networks are currently a crucial part of the best image and speech recognition systems. However, it is not yet established to what extent the same approaches can also yield solutions to problems that require deeper language understanding, such as image description, machine translation, dialogue systems and question answering. I address this question by reviewing some advances made by neural nets in these areas and demonstrating my own work (in collaborating with Yoshua Bengio and Kyunghyun Cho in Montreal) relating to machine translation and question answering.
Felix Hill’s biography
I am a second year PhD Student in the Computer Laboratory's Natural Language and Information Processing Group, supervised by Anna Korhonen. I have recently spent time working at the LISA lab, Montreal, with Yoshua Bengio. My research applies results from cognitive psychology and neuroscience to build models that learn the meaning of words and concepts. I am particularly interested in approaches to abstraction in language and algorithms for learning abstract concepts. Because cross-disciplinary work is not as common as it should be, I am a student organizer for the Cambridge Language Sciences initiative.
Claim the event and start manage its content.I am the organizer