Difference between revisions of "Fall 2022 Schedule"

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|6.26.18 || Mark Johnson - What can Deep Learning tell us about Natural Language Understanding?
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|6.27.18 || Mark Johnson - What can Deep Learning tell us about Natural Language Understanding?
 
Deep Learning has revolutionised Computational Linguistics and Natural Language Understanding.  It has been startlingly successful for supervised machine learning on complex end-to-end NLP tasks such as image captioning or machine translation, but with less spectacular progress in semi-supervised and unsupervised learning.  This talk reviews how the field has changed over the last few years, what has stayed the same, and speculates on the impact of deep learning for the larger science of language.
 
Deep Learning has revolutionised Computational Linguistics and Natural Language Understanding.  It has been startlingly successful for supervised machine learning on complex end-to-end NLP tasks such as image captioning or machine translation, but with less spectacular progress in semi-supervised and unsupervised learning.  This talk reviews how the field has changed over the last few years, what has stayed the same, and speculates on the impact of deep learning for the larger science of language.
 
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Revision as of 13:58, 15 May 2018

Date Title
6.27.18 Mark Johnson - What can Deep Learning tell us about Natural Language Understanding?

Deep Learning has revolutionised Computational Linguistics and Natural Language Understanding. It has been startlingly successful for supervised machine learning on complex end-to-end NLP tasks such as image captioning or machine translation, but with less spectacular progress in semi-supervised and unsupervised learning. This talk reviews how the field has changed over the last few years, what has stayed the same, and speculates on the impact of deep learning for the larger science of language.

Past Schedules