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About Xu-Ly-Ngon-Ngu-Tu-Nhien - Kai-Wei-Chang - 22-rl - (Cuuduongthancong - Com)
This document discusses feature representations in natural language processing and how they can be learned using machine learning algorithms and deep learning models. It covers topics like conditional random fields, kernel methods, neural networks, word embeddings, and sequence-to-sequence models.
Detailed Information
| Author: | ['NeilFaver'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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