NLP Research at Cornell Data Science works on developing cutting-edge machine learning methods for natural language processing. Our objective is to provide insights and discoveries to the NLP community through scientific research.
Advisor: Professor Thorsten Joachims
Team Leads: Kenta Takatsu (CS '19)
- QuACC: Question Answering for Cornell Courses
- DuQI: Duplicate Question Identification
- SWMR: Sentiment Analysis with Movie Reviews
- Extracting Rating Dimensions from Hidden Topics in Text Reviews
- Topic Modeling as a Trend-Aware Performance Metric
- Identifying Experts in the Yelp Dataset
- On the Use of K-Competitive Networks for Writing Style Transfer
- Xuwen Shen (STAT '18)
- Yuji Akimoto (CS '19)
- Arnav Ghosh (CS '19)
- Brandon Kates (BTRY '19)
- Zhao Shen (CS '19)
- Chetan Velivela (CS '19)
- Xinzhe Yang (CS '20)
- Katie Yang (CS '21)