Synthetic word embedding generation for downstream NLP task
Distributional word representation such as GloVe and BERT has garnered immense popularity and research interest in recent years due to their success in many downstream NLP applications. However, a major limitation of word embedding is its inability to handle unknown words. To make sense...
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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/10356/153201 |