I just had the immense honour to be invited to and to deliver a keynote talk on deep learning for natural language processing at the 2015 International Conference on Systems, Man and Cybernetics in Hong Kong. Among the other keynote speakers was Prof. Jack Gallant, from UC Berkeley, who presented his pioneering work on neuroimaging, such as fMRI, for studying how the human brain represents and processes sensory and cognitive information reading. The chair of my session was Dr. Tin Kam Ho, my former boss at Bell Labs and a truly inspiring mentor and scientist who, among others, invented the random decision forests algorithm, and who currently works at IBM Watson.
The slides of my presentations are available here: PiotrMirowski_2015_LearningRepresentationsOfTextForNLP_Online
3 thoughts on “Keynote talk about learning representations of text for natural language processing”
Reblogged this on jozvison.
That’s a very nicely put together presentation!
(It’s a pity I didn’t get my submission to the HK conf together in time…)
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