1. Al-Rfou, R., Perozzi, B., & Skiena, S. (2014). Polyglot: Distributed word representations for multilingual NLP. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, June 2014 (pp. 183–192).
https://arxiv.org/pdf/1307.1662.pdf
2. Anderka, M., & Stein, B. (2009). The ESA retrieval model revisited. In Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 670–171).
https://doi.org/10.1145/1571941.1572070
3. Bhattacharyya, M., Suhara, Y., Md Rahman, M., & Krause, M. (2017). Possible confounds in word-based semantic similarity test data. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing – CSCW ‘17 Companion (pp. 147–150).
https://doi.org/10.1145/3022198.3026357
4. Bingham, E., & Mannila, H. (2001). Random projection in dimensionality reduction: Applications to image and text data. In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2001 (pp. 245–150).
https://doi.org/10.1145/502512.502546
5. Bolukbasi, T., Chang, K.-W., Zou, J. Y., Saligrama, V., & Kalai, A. T. (2016, July 29). Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. Advances in Neural Information Processing Systems, 29.
https://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-debiasing-word-embeddings.pdf