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)
|
PDF
Language: English 
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
|
|
|
Download this file (PDF/3MB) |
Preview |
| Official URL: https://doi.org/10.22024/UniKent/01.02.87195 |
|
| Item Type: | Thesis (Master of Research (MRes)) |
|---|---|
| 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 |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
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: | 20 May 2025 10:25 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/87195 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Altmetric
Altmetric
