CornellDataScience/NLP_Research-SP18

Name: NLP_Research-SP18

Owner: Cornell Data Science

Description: Cornell Data Science: NLP Research Project

Created: 2018-02-26 04:34:57.0

Updated: 2018-03-05 08:11:11.0

Pushed: 2018-03-10 16:33:50.0

Homepage: http://cornelldata.science

Size: 62246

Language: null

GitHub Committers

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Other Committers

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README

Who we are:

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)

Current Projects:

• QuACC: Question Answering for Cornell Courses
• DuQI: Duplicate Question Identification
• SWMR: Sentiment Analysis with Movie Reviews

Previous Projects:

• 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

Members (SP2018):

• 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)