• DOI:10.1145/2623330.2623677
Corpus ID: 207214527

Open question answering over curated and extracted knowledge bases

@article{Fader2014OpenQA,
  title={Open question answering over curated and extracted knowledge bases},
  author={Anthony Fader and Luke Zettlemoyer and Oren Etzioni},
  journal={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
  year={2014}
}

Anthony Fader, Luke Zettlemoyer, Oren Etzioni

Published 2014

Computer Science

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

We consider the problem of open-domain question answering (Open QA) over massive knowledge bases (KBs). Existing approaches use either manually curated KBs like Freebase or KBs automatically extracted from unstructured text. In this paper, we present OQA, the first approach to leverage both curated and extracted KBs. A key technical challenge is designing systems that are robust to the high variability in both natural language questions and massive KBs. OQA achieves robustness by decomposing… CONTINUE READING

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