Abstract
We present a simple extension of the GloVe representation learning model that begins with general-purpose representations and updates them based on data from a specialized domain. We show that the resulting representations can lead to faster learning and better results on a variety of tasks.
Cite
CITATION STYLE
Dingwall, N., & Potts, C. (2018). Mittens: An extension of glove for learning domain-specialized representations. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference (Vol. 2, pp. 212–217). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-2034
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