no code implementations • EMNLP (NLP4ConvAI) 2021 • Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Xiyao Ma, Mohamed AbdelHady
In this paper, we introduce a fallback skill recommendation system to suggest a voice app to a customer for an unhandled voice command.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 19 Oct 2021 • Wei Xiao, Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Mohamed AbdelHady
Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks.
no code implementations • 3 May 2021 • Zheng Gao, Chun Guo, Shutian Ma, Xiaozhong Liu
Therefore a heterogeneous network can be converted to a homogeneous one where those conventional methods are eligible to use.
no code implementations • 6 Sep 2020 • Zheng Gao, Chun Guo, Xiaozhong Liu
Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link prediction for users, etc.
no code implementations • 6 Sep 2020 • Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu
In this paper, our model, Pairwise Cross-graph Community Detection (PCCD), is proposed to cope with the sparse graph problem by involving external graph knowledge to learn user pairwise community closeness instead of detecting direct communities.
3 code implementations • 6 Apr 2020 • Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
The network uses deep similarity learning to learn a TypeSpace -- a continuous relaxation of the discrete space of types -- and how to embed the type properties of a symbol (i. e. identifier) into it.
no code implementations • 12 Jul 2019 • Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu
Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising.
1 code implementation • EMNLP 2018 • Yongzhen Wang, Xiaozhong Liu, Zheng Gao
Conventional solutions to automatic related work summarization rely heavily on human-engineered features.
1 code implementation • 7 Sep 2018 • Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Qi Yu, Ying Ding
We propose this method for its added value relative to existing graph analytical methodology, and in the real world context of biomedical knowledge discovery applicability.