1 code implementation • COLING 2022 • Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xiangyu Xi, Hailei Yan, Wei Ye, Tong Mo, Fan Yang, Guanglu Wan
Many recent sentence-level event detection efforts focus on enriching sentence semantics, e. g., via multi-task or prompt-based learning.
no code implementations • COLING 2022 • Haochen Li, Tong Mo, Hongcheng Fan, Jingkun Wang, Jiaxi Wang, Fuhao Zhang, Weiping Li
Then, knowledge-injected prompts are constructed using external knowledge bases, and a prompt tuning strategy is leveraged to optimize the prompts.
no code implementations • COLING 2022 • Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang
Answering natural language questions on knowledge graphs (KGQA) remains a great challenge in terms of understanding complex questions via multi-hop reasoning.
1 code implementation • 14 Jan 2022 • Yinyi Wei, Tong Mo, Yongtao Jiang, Weiping Li, Wen Zhao
The distances between the embedding at the masked position of input and prototypical embeddings are used as classification criterion.
no code implementations • 4 Jun 2021 • Tong Mo, Bang Liu
Keyword spotting aims to identify specific keyword audio utterances.
1 code implementation • COLING 2020 • Rong Zhang, Qifei Zhou, Bo An, Weiping Li, Tong Mo, Bo Wu
2) There is no previous work considering adversarial attack to improve the performance of NLSM tasks.
no code implementations • 1 Sep 2020 • Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice.
Ranked #1 on Keyword Spotting on Google Speech Commands (Google Speech Commands V1 6 metric)
1 code implementation • SIAM International Conference on Data Mining (SDM20) 2020 • Rong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo
We firstly propose to explore the asking emphasis of a question as a key factor in DQI.
Ranked #1 on Community Question Answering on Quora Question Pairs
no code implementations • 5 Apr 2018 • Rong Zhang, Weiping Li, Tong Mo
In recent years, China, the United States and other countries, Google and other high-tech companies have increased investment in artificial intelligence.
no code implementations • 22 Nov 2017 • Tong Mo, Rong Zhang, Weiping Li, Jingbo Zhang, Zhonghai Wu, Wei Tan
The practice in an elderly-care company shows that the FPQM can reduce the number of attributes by 90. 56% with a prediction accuracy of 98. 39%.