Distractor Generation for Multiple Choice Questions Using Learning to Rank.
Chen LiangXiao YangNeisarg DaveDrew WhamBart PurselC. Lee GilesPublished in: BEA@NAACL-HLT (2018)
Keyphrases
- learning to rank
- multiple choice questions
- ranking functions
- information retrieval
- loss function
- evaluation measures
- direct optimization
- document retrieval
- ranking svm
- query dependent
- multiple choice
- collaborative filtering
- test collection
- balancing exploration and exploitation
- programming course
- retrieval systems
- web search
- correct answers
- ranking algorithm
- supervised learning
- learning to rank algorithms
- digital libraries
- keywords