no code implementations • ACL 2020 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao
To tackle these problems, we design a post-training procedure, which contains the target domain masked language model task and a novel domain-distinguish pre-training task.
no code implementations • IJCNLP 2019 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu
Aspect-level sentiment classification is a crucial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context.
no code implementations • IJCNLP 2019 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma
It has been demonstrated that multiple senses of a word actually reside in linear superposition within the word embedding so that specific senses can be extracted from the original word embedding.
no code implementations • BMVC 2018 • Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao
As most weakly supervised object detection methods are based on pre-generated proposals, they often show two false detections: (i) group multiple object instances with one bounding box, and (ii) focus on only parts rather than the whole objects.
Ranked #20 on
Weakly Supervised Object Detection
on PASCAL VOC 2007