no code implementations • 22 Mar 2024 • Changmeng Zheng, Dayong Liang, WengYu Zhang, Xiao-Yong Wei, Tat-Seng Chua, Qing Li
The study addresses two key challenges: the trivialization of opinions resulting from excessive summarization and the diversion of focus caused by distractor concepts introduced from images.
1 code implementation • COLING 2020 • Changmeng Zheng, Yi Cai, Guanjie Zhang, Qing Li
Entities are the major proportion and build up the topic of text summaries.
1 code implementation • 3 Aug 2020 • Changmeng Zheng, Zhiwei Wu, Tao Wang, Cai Yi, Qing Li
To better exploit visual and textual information in NER, we propose an adversarial gated bilinear attention neural network (AGBAN).
no code implementations • ACL 2020 • Qingbao Huang, Jielong Wei, Yi Cai, Changmeng Zheng, Junying Chen, Ho-fung Leung, Qing Li
Visual question answering aims to answer the natural language question about a given image.
1 code implementation • IJCNLP 2019 • Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Gu Xu, ong
We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels.
Ranked #11 on Named Entity Recognition (NER) on GENIA