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【学习】牛津大学2017学年自然语言处理高级课程

机器学习研究会 2019-05-14 03:30:38

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摘要
 

转自:网路冷眼

Oxford Deep NLP:牛津大学2017学年自然语言处理高级课程,包括幻灯片和视频,目前放出6讲,来自牛津大学,Google DeepMind 和NVIDIA等牛人主讲.


Preamble

This repository contains the lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford.

This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence. The ambiguities and noise inherent in human communication render traditional symbolic AI techniques ineffective for representing and analysing language data. Recently statistical techniques based on neural networks have achieved a number of remarkable successes in natural language processing leading to a great deal of commercial and academic interest in the field

This is an applied course focussing on recent advances in analysing and generating speech and text using recurrent neural networks. We introduce the mathematical definitions of the relevant machine learning models and derive their associated optimisation algorithms. The course covers a range of applications of neural networks in NLP including analysing latent dimensions in text, transcribing speech to text, translating between languages, and answering questions. These topics are organised into three high level themes forming a progression from understanding the use of neural networks for sequential language modelling, to understanding their use as conditional language models for transduction tasks, and finally to approaches employing these techniques in combination with other mechanisms for advanced applications. Throughout the course the practical implementation of such models on CPU and GPU hardware is also discussed.

This course is organised by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.


Lecturers

  • Phil Blunsom (Oxford University and DeepMind)

  • Chris Dyer (Carnegie Mellon University and DeepMind)

  • Edward Grefenstette (DeepMind)

  • Karl Moritz Hermann (DeepMind)

  • Andrew Senior (DeepMind)

  • Wang Ling (DeepMind)

  • Jeremy Appleyard (NVIDIA)


链接:

https://github.com/oxford-cs-deepnlp-2017/lectures


原文链接:

http://weibo.com/1715118170/EutN2cXzB?type=comment#_rnd1486544930909

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