May 31, 2020 · In this survey we review neural unsupervised domain adaptation techniques which do not require labeled target domain data.
In this survey we review neural unsupervised domain adaptation techniques which do not require labeled target domain data.
[PDF] Neural Unsupervised Domain Adaptation in NLP—A Survey
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This survey reviews neural unsupervised domain adaptation techniques which do not require labeled target domain data, and revisits the notion of domain, ...
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In this survey, we (i) comprehensively review neural approaches to unsupervised domain adaptation in NLP, 3 33We disregard methods which are task-specific (like ...
Motivated by the latest advances, in this survey we review neural unsupervised domain adaptation techniques which do not require labeled target domain data.
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This repo is a collection of AWESOME things about domain adaptation in NLP, including papers, code, etc. Feel free to star and fork.
This work shows that it is possible to improve on existing state-of-the-art UDA methods by jointly training the representation learner with the task learner ...
A curated list of awesome work on neural unsupervised domain adaptation in Natural Language Processing, including links to papers.
Jul 5, 2020 · This survey will compare these approaches by examining alternative methods, the unique and common elements, results, and theoretical insights.