Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 3min
The Differences Between AMR and Semantic Dependencies
02:40 • 2min
The Importance of Natural Language in Virtual Assistant Applications
04:28 • 4min
The Role of Semantic Parsing in Natural Language Understanding
08:06 • 2min
How to Build a System That Translates From Language to an Executable Representation
10:08 • 3min
How to Translate Language to Programs
13:07 • 3min
The Pros and Cons of Using a CKY Chart Style Parsing Model
15:55 • 2min
The Impossibility of Search Based Training
17:49 • 3min
How to Use Neural Module Networks to Learn Semantic Parsing
21:16 • 2min
Neural Concept Learner: A Novel Approach to Learning Language
23:33 • 2min
How SQL Parsing Affects Performance
25:59 • 4min
Semantic Parsing Research: What to Focus On
30:09 • 2min
The Importance of Semantic Parsing
32:27 • 4min
The Drawbacks of Semantic Parsing
36:28 • 3min
Semantic Machines and the Virtual Assistant
39:29 • 3min