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About CS224n: Natural Language Processing With Deep Learning
This document introduces natural language processing and discusses methods for representing words as vectors. It begins with an overview of NLP tasks and what makes human language special. Next, it discusses using one-hot vectors to represent words and the limitations of this approach. It then introduces the concept of word embeddings using singular value decomposition on co-occurrence matrices to find a lower dimensional semantic space and encode word similarity.
Detailed Information
| Author: | ['Muhammad Rizwan Khalid'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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