Solving Open-Domain Multiple Choice Questions with Textual Entailment and Text Similarity Measures.
Neil DhruvaOliver FerschkeIryna GurevychPublished in: CLEF (Working Notes) (2014)
Keyphrases
- open domain
- textual entailment
- multiple choice questions
- similarity measure
- information extraction
- recognizing textual entailment
- question answering
- answer validation
- natural language processing
- machine learning
- wordnet
- multiple choice
- semantic similarity
- semantic features
- feature vectors
- similarity search
- distance measure
- text mining