Answering questions with authority

  title={Answering questions with authority},
  author={Andrew Hickl},
This paper presents a novel approach to textual question answering (QA) which identifies answers to natural language questions by leveraging large collections of question-answer pairs extracted from web sources or generated automatically from text. Instead of using the traditional retrieve-and-rerank approach common to most previous approaches to factoid question answering, we introduce a new model of answer authority which allows question-answering systems to estimate the quality of answers… CONTINUE READING

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Key Quantitative Results

  • Experimental results show that the authority derived from a graph of question-answer pairs can increase the performance of a factoid QA system by nearly 30%.


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