Domain Adaptation Text Classification

Aaai 2020 10 pages subjects.

Domain adaptation text classification. Text classification becomes a hot topic nowadays. 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. University of north carolina at chapel hill 10 share.

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. Chen w zhou j. 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. Multi source domain adaptation for text classification via distancenet bandits 01 13 2020 by han guo et al. Text of unsupervised domain adaptation.

Lecture notes in computer science vol 6458. Domain adaptation sentiment classification. Cheng pj kan my lam w nakov p.

2010 a text classifier with domain adaptation for sentiment classification. Such architectures achieve very high accuracy on tasks like text classification question answering natural language inference etc. Most supervised learning algorithms rely.

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. In this paper we study a novel learning problem. We explore domain adaptation.