COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering.
Farhad MoghimifarLizhen QuYue ZhuoMahsa BaktashmotlaghGholamreza HaffariPublished in: CoRR (2020)
Keyphrases
- question answering
- mixture model
- em algorithm
- generative model
- probabilistic model
- information extraction
- unsupervised learning
- language model
- named entities
- information retrieval
- question classification
- question answering systems
- natural language
- maximum likelihood
- model selection
- passage retrieval
- expectation maximization
- natural language processing
- qa clef
- natural language questions
- artificial intelligence
- relation extraction
- syntactic information
- answer extraction
- machine learning
- pairwise
- knowledge base