Online Updating of Word Representations for Part-of-Speech Tagging
LMU Munich（慕尼黑大学）；Cornell University（康奈尔大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
