Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See. ACT: an Attentive Convolutional Transformer for Efficient Text Classification. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 13261-13269, AAAI Press, 2021. [doi]
@inproceedings{LiZMWYLYS21,
title = {ACT: an Attentive Convolutional Transformer for Efficient Text Classification},
author = {Pengfei Li and Peixiang Zhong and Kezhi Mao and Dongzhe Wang and Xuefeng Yang and Yunfeng Liu and Jianxiong Yin and Simon See},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17566},
researchr = {https://researchr.org/publication/LiZMWYLYS21},
cites = {0},
citedby = {0},
pages = {13261-13269},
booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021},
publisher = {AAAI Press},
isbn = {978-1-57735-866-4},
}