Learning Knowledge Graphs for Question Answering through Conversational Dialog

@inproceedings{Hixon2015LearningKG,
  title={Learning Knowledge Graphs for Question Answering through Conversational Dialog},
  author={Ben Hixon and Peter Clark and Hannaneh Hajishirzi},
  booktitle={North American Chapter of the Association for Computational Linguistics},
  year={2015}
}
We describe how a question-answering system can learn about its domain from conversational dialogs. Our system learns to relate concepts in science questions to propositions in a fact corpus, stores new concepts and relations in a knowledge graph (KG), and uses the graph to solve questions. We are the first to acquire knowledge for question-answering from open, natural language dialogs without a fixed ontology or domain model that predetermines what users can say. Our relation-based strategies… 
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