My research goal is to develop intelligent text summarization systems that condense a large quantity of text to a short and concise summary. My research work combines natural language processing with cutting-edge deep neural models. I'm also interested in reinforcement learning and AI-related topics.
- Text Generation and Summarization
- Language Comprehension and Grammar
- Deep Neural Networks: RNN, CNN
- Reinforcement Learning and AI-related topics
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff, Kaiqiang Song, and Fei Liu
Accepted at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , Brussels, Belgium, 2018.
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song, Lin Zhao, and Fei Liu
Accepted at the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, August 2018. [paper][code]
Department of Computer Science, HEC 234
University of Central Florida
4000 Central Florida Blvd
Orlando, FL 32816