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Online updating of word representations for part-of-speech tagging

Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing (2015) 1329-1334
DOI: 10.18653/v1/d15-1155
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Abstract

We propose online unsupervised domain adaptation (DA), which is performed incrementally as data comes in and is applicable when batch DA is not possible. In a part-of-speech (POS) tagging evaluation, we find that online unsupervised DA performs as well as batch DA.

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Yin, W., Schnabel, T., & Schutze, H. (2015). Online updating of word representations for part-of-speech tagging. In Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing (pp. 1329–1334). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d15-1155

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