Improving Passage Retrieval in Question Answering Using NLP

  title={Improving Passage Retrieval in Question Answering Using NLP},
  author={J{\"o}rg Tiedemann},
This paper describes an approach for the integration of linguistic information in passage retrieval in an open-source question answering system for Dutch. Annotation produced by the wide-coverage dependency parser Alpino is stored in multiple index layers to be matched with natural language question that have been analyzed by the same parser. We present a genetic algorithm to select features to be included in retrieval queries and for optimizing keyword weights. The system is trained on… CONTINUE READING
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