Skip to main content
Kent Academic Repository

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language

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)

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
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: 05 Nov 2024 12:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87195 (The current URI for this page, for reference purposes)

University of Kent Author Information

Wesek, Adrian.

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.