Task-dependent Optimal Weight Combinations for Static Embeddings
A variety of NLP applications use word2vec skip-gram, GloVe, and fastText word embeddings. These models learn two sets of embedding vectors, but most practitioners use only one of them, or alternately an unweighted sum of both. This is the first study to systematically explore a range of linear com...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Linköping University Electronic Press
2022-11-01
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| Series: | Northern European Journal of Language Technology |
| Online Access: | https://nejlt.ep.liu.se/article/view/4438 |
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