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Deep NLP Applications and Dynamic Memory Networks
Published on Sep 13, 20159854 Views
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Chapter list
Deep NLP Applications and Dynamic Memory Networks 00:00
Why focus deep research on NLP? 00:12
Overview03:19
Character RNNs on text and code - 205:21
Shakespeare05:52
Wikipedia06:30
Latex (had to be fixed manually)06:45
Code! (Linux source code)07:09
Character RNNs on text and code - 108:40
Question Answering: Quiz Bowl Competition - 108:53
Question Answering: Quiz Bowl Competition - 210:50
Qanta Model Can Defeat Human Players12:49
Literature Questions are Hard!14:07
Pushing Facts into Entity Vectors16:21
Recursive Neural Networks17:10
Visual Grounding18:23
Discussion: Compositional Structure18:58
Convolutional Neural Network for Images20:35
Results - 128:24
Results - 228:25
Live Demo32:20
Engagement Demo38:24
Image - Sentence Generation - 140:18
Image - Sentence Generation - 240:37
Dynamic Memory Networks41:58
All NLP tasks can be reduced to question answering42:12
QA42:37
Interesting but useless44:27
Dynamic memory Network44:32
Ask me anything: Dynamic Memory Networks for NLP45:33
Joint Work with MetaMind intern team45:47
The DMN47:17
The Modulets: Input48:54
Reminder: Gated Recurrent Units in RNN50:36
Example Input, Question, Answer53:03
The modules: Episodic Memory!53:43
The modules: Question55:46
Gates over input sentences55:52
Episodes - 156:07
Episodes - 257:06
The Moodules: Answer57:24
Putting it all together58:03
Tasks with results above or near state of the art01:03:12
Details: QA on babl, POS and Sentiment01:17:45
Dynamic Memory Network website01:17:51
Summary01:18:56