Attentive embedding for document representation
With NLP reaching new and greater heights in many real-world applications, researchers are still trying to find better ways for a model to learn document representation. Moreover, most state-of-the-art NLP models have an encoder-decoder like architecture, which looks like an autoencoder architecture...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/149102 |