Domain Adaptation Text Classification

University of north carolina at chapel hill 10 share.

Domain adaptation text classification. Lecture notes in computer science vol 6458. Text of unsupervised domain adaptation. In this paper we study a novel learning problem. 1 introduction in situations where large scale annotated datasets are avail able supervised learning algorithms have achieved remark able progress in various nlp challenges lecun bengio and hinton 2015.

Aaai 2020 10 pages subjects. 2010 a text classifier with domain adaptation for sentiment classification. Multi source domain adaptation for text classification via distancenet bandits april 2020 proceedings of the aaai conference on artificial intelligence 34 05 7830 7838. As well as its dynamic bandit variant can outperform competitive baselines in the context of unsupervised domain adaptation.

Domain adaptation sentiment classification. Eds information retrieval technology. Domain adaptation performance of a learning algorithm on a target domain is a function of its source domain error and a divergence measure between the data. Such architectures achieve very high accuracy on tasks like text classification question answering natural language inference etc.

Multi source domain adaptation for text classification via distancenet bandits 01 13 2020 by han guo et al. We explore domain adaptation. Distant domain adaptation for text classification ddat. Bi weighting domain adaptation for cross language text classification chang wan rong pan and jiefei li school of information science and technology sun yat sen university guangzhou china wanchang mail2 panr mail lijiefei mail2 sysu edu cn abstract text classification is widely used in many real world applications.

Text classification becomes a hot topic nowadays. Most supervised learning algorithms rely. Cheng pj kan my lam w nakov p. Request pdf multi source domain adaptation for text classification via distancenet bandits domain adaptation performance of a learning algorithm on a target domain is a function of its source.