An enhanced text classification model by the inverted attention orthogonal projection module-Reference-Cited by-同舟云学术

An enhanced text classification model by the inverted attention orthogonal projection module

Published:2023-02-11 Issue:1 Volume:35 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Zhao Hong¹,Zhang Chenpeng¹,Wang Aolong¹

Affiliation:

1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People’s Republic of China

Funder

National Science Foundation of China

Science and technology project of Gansu Province

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2173145

Reference33 articles.

1. Blitzer J. McDonald R. & Pereira F. (2006). Domain adaptation with structural correspondence learning. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing 120–128.

2. Cho K. Van Merriënboer B. Gulcehre C. Bahdanau D. Bougares F. Schwenk H. & Bengio Y. (2014). Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv:1406.1078.

3. Devlin J. Chang M. W. Lee K. & Toutanova K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805.

4. Ganin, Y., & Lempitsky, V. (2015). Unsupervised domain adaptation by backpropagation. In International conference on machine learning (pp. 1180–1189). PMLR.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Six-Granularity Based Chinese Short Text Classification;IEEE Access;2023