Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm.
Andrew Kwok-Fai LuiSin Chun NgStella Wing-Nga CheungPublished in: SSCI (2020)
Keyphrases
- clustering algorithm
- object recognition
- question answer
- recognition rate
- answer questions
- recognition accuracy
- action recognition
- visual recognition
- computationally expensive
- pattern recognition
- anomaly detection
- data clustering
- information retrieval systems
- information theory
- hidden markov models
- pairwise
- multiple choice