Improving Classification of Natural Language Answers to ITS Questions with Item-Specific Supervised Learning.
Benjamin D. NyeMustafa H. HajeerZhiqiang CaiPublished in: FLAIRS Conference (2015)
Keyphrases
- supervised learning
- natural language
- natural language questions
- supervised machine learning
- machine learning
- unsupervised learning
- question answering systems
- answer questions
- accurate classification
- class labels
- support vector
- pattern recognition
- question answer
- classification accuracy
- training set
- decision trees
- supervised classification
- classification algorithm
- question answering
- statistical learning
- learning tasks
- high level
- automatic classification
- asked questions
- pattern classification
- multiple instance learning
- data sets
- training samples
- labeled data
- training data
- support vector machine
- reinforcement learning
- feature vectors
- natural language interface
- feature selection
- answering questions
- natural language queries
- candidate answers
- knowledge representation
- machine learning algorithms
- semi supervised
- domain specific
- model selection
- training examples