MIT Introduction to Deep Learning 6.S191: Lecture 9
Deep CPCFG for Information Extraction
Lecturer: Nigel Duffy and Freddy Chua, Ernst & Young AI Labs
January 2021
For all lectures, slides, and lab materials: http://introtodeeplearning.com
More details on Deep Conditional Probabilistic Context Free Grammars (CPCFG): https://arxiv.org/abs/2103.05908
Code and datasets: https://github.com/deepcpcfg/datasets
Lecture Outline
0:00 – Introduction
4:18 – What is information extraction?
7:19 – Types of information (headers, line items, etc)
11:57 – Representing document schemas
12:35 – Philosophy of end-to-end deep learning
16:38 – Context free grammars (CFG)
20:55 – Parsing with deep learning
27:10 – Learning objective and training
28:21 – 2 dimensional parsing
33:20 – Handling noise in the parsing
35:23 – Experimental results
38:00 – Question and answering
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