no code implementations • 30 Nov 2019 • Xuewen Shi, He-Yan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang
In this paper, we transform tag recommendation into a word-based text generation problem and introduce a sequence-to-sequence model.
1 code implementation • 29 Nov 2019 • Xuewen Shi, He-Yan Huang, Ping Jian, Yuhang Guo, Xiaochi Wei, Yi-Kun Tang
In this paper, we cast the CWS as a sequence translation problem and propose a novel sequence-to-sequence CWS model with an attention-based encoder-decoder framework.
no code implementations • CONLL 2019 • Xuewen Shi, He-Yan Huang, Wenguan Wang, Ping Jian, Yi-Kun Tang
To alleviate this problem, we propose an NMT approach that heightens the adequacy in machine translation by transferring the semantic knowledge learned from bilingual sentence alignment.
no code implementations • 7 Apr 2017 • Yi-Kun Tang, Xian-Ling Mao, He-Yan Huang, Guihua Wen
Recently, topic modeling has been widely used to discover the abstract topics in text corpora.