Wesek, Adrian (2021) A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language. Master of Research (MRes) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.87195) (KAR id:87195)
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| Official URL: https://doi.org/10.22024/UniKent/01.02.87195 |
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| Item Type: | Thesis (Master of Research (MRes)) |
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| Thesis advisor: | Grzes, Marek |
| DOI/Identification number: | 10.22024/UniKent/01.02.87195 |
| Uncontrolled keywords: | Natural Language Processing, NLP, Natural Language Generation, NLG, Lyrics generation, Transformer, contextual embeddings |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| SWORD Depositor: | System Moodle |
| Depositing User: | System Moodle |
| Date Deposited: | 23 Mar 2021 10:28 UTC |
| Last Modified: | 09 Dec 2022 03:05 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/87195 (The current URI for this page, for reference purposes) |
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