1 code implementation • 30 Apr 2021 • Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan
Generating videos from text is a challenging task due to its high computational requirements for training and infinite possible answers for evaluation.
1 code implementation • COLING 2020 • Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He
We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation.
no code implementations • ACL 2019 • Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang
Attention-based neural models were employed to detect the different aspects and sentiment polarities of the same target in targeted aspect-based sentiment analysis (TABSA).
no code implementations • NAACL 2019 • Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau
Motivated by this, our paper focuses on the task of rumour detection; particularly, we are interested in understanding how early we can detect them.
no code implementations • SEMEVAL 2018 • Meng Li, Zhenyuan Dong, Zhihao Fan, Kongming Meng, Jinghua Cao, Guanqi Ding, Yu-Han Liu, Jiawei Shan, Binyang Li
This paper presents a UIR-Miner system for emotion and sentiment analysis evaluation in Twitter in SemEval 2018.
no code implementations • COLING 2016 • Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong
We present a system called ACE for Automatic Colloquialism and Errors detection for written Chinese.
no code implementations • LREC 2014 • Lanjun Zhou, Binyang Li, Zhongyu Wei, Kam-Fai Wong
The lack of open discourse corpus for Chinese brings limitations for many natural language processing tasks.