Efficient Estimation of Word Representations in Vector Space
Abstract
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks.
Cite
Text
Mikolov et al. "Efficient Estimation of Word Representations in Vector Space." arXiv, 2013. doi:10.48550/arXiv.1301.3781Markdown
[Mikolov et al. "Efficient Estimation of Word Representations in Vector Space." arXiv, 2013.](https://mlanthology.org/misc/2013/mikolov2013misc-efficient/) doi:10.48550/arXiv.1301.3781BibTeX
@misc{mikolov2013misc-efficient,
title = {{Efficient Estimation of Word Representations in Vector Space}},
author = {Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
howpublished = {arXiv},
year = {2013},
doi = {10.48550/arXiv.1301.3781},
url = {https://mlanthology.org/misc/2013/mikolov2013misc-efficient/}
}