S, Lovelyn Rose (2021) Comparative Study on Different Word Embedding Techniques. In: Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India.
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Abstract
Recent advancements in distributional semantics allow a word to be represented in a multi-dimensional semantic space as vectors. Words that are semantically and syntactically similar are closer in value. Popular methods to generate such embeddings include neural networks, reduction of word-to-word c
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:57 |
| Last Modified: | 17 Apr 2026 07:03 |
| URI: | http://eprints.eai.eu/id/eprint/37249 |
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