Relationships Matter: Mining relationships using Deep Learning
summary
Covers relationship extraction from unstructured text to build knowledge graphs, focusing on identifying entities and their relations using Natural Language Processing enhanced by deep learning. Describes how deep learning techniques can be applied to extract structured information for use cases like monitoring web content and analyzing documents for illicit activity.
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chapters (10)
- 0:00Intro
- 0:28TABLE OF CONTENT
- 1:39Information Extraction
- 2:45NER example, sample code, and training data set
- 6:52Relationship Extraction Across Domains
- 8:35Relationship Extraction Using Supervised Machine Learning
- 9:58Relationship Extraction Using Deep Learning
- 10:42Recurrent Neural Network (RNN)
- 12:35Deep Learning Model Topology
- 13:27Building RNN based model for Relationship Extraction
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