1 code implementation • 24 Oct 2020 • Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Wilfred Ng
The offline experimental results based on real-world E-commerce data demonstrate the effectiveness and verify the importance of unclicked items in sequential recommendation.
no code implementations • CVPR 2020 • Mengxue Li, Yi-Ming Zhai, You-Wei Luo, Peng-Fei Ge, Chuan-Xian Ren
Unsupervised domain adaptation (UDA) is a representative problem in transfer learning, which aims to improve the classification performance on an unlabeled target domain by exploiting discriminant information from a labeled source domain.
no code implementations • EMNLP 2017 • Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang
We study the helpful product reviews identification problem in this paper.
no code implementations • 5 May 2017 • Mengxue Li, Shiqiang Geng, Yang Gao, Haijing Liu, Hao Wang
Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts.