Mathematical features of semantic projections and word embeddings for automatic linguistic analysis
Embeddings in normed spaces are a widely used tool in automatic linguistic analysis, as they help model semantic structures. They map words, phrases, or even entire sentences into vectors within a high-dimensional space, where the geometric proximity of vectors corresponds to the semantic similarity...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2025185 |
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