Enhancing Word Embeddings for Improved Semantic Alignment
This study introduces a method for the improvement of word vectors, addressing the limitations of traditional approaches like Word2Vec or GloVe through introducing into embeddings richer semantic properties. Our approach leverages supervised learning methods, with shifts in vectors in the representa...
| Published in: | Applied Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/24/11519 |