37 citations · 57 across the 7 of their papers we have counts for
7 papers
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition
Pengfei Liu, Kun Li, Helen Meng
Emotion recognition is a challenging and actively-studied research area that plays a critical role in emotion-aware human-computer interaction systems. In a multimodal setting, tem…
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling
Pengfei Liu, Kun Li, Helen Meng
User queries for a real-world dialog system may sometimes fall outside the scope of the system's capabilities, but appropriate system responses will enable smooth processing throug…
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
Pengfei Liu, Youzhang Ning, King Keung Wu +2
Intent understanding plays an important role in dialog systems, and is typically formulated as a supervised learning problem. However, it is challenging and time-consuming to desig…
Unsupervised Pre-training for Biomedical Question Answering
Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li +4
We explore the suitability of unsupervised representation learning methods on biomedical text -- BioBERT, SciBERT, and BioSentVec -- for biomedical question answering. To further i…
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
Kun Li, Chengbo Chen, Xiaojun Quan +2
Aspect term extraction aims to extract aspect terms from review texts as opinion targets for sentiment analysis. One of the big challenges with this task is the lack of sufficient…
Inverse Reinforcement Learning with Multi-Relational Chains for Robot-Centered Smart Home
Kun Li, Max Q. -H. Meng
In a robot-centered smart home, the robot observes the home states with its own sensors, and then it can change certain object states according to an operator's commands for remote…