Question-answering by predictive annotation

  • Authors:
  • John Prager;Eric Brown;Anni Coden;Dragomir Radev

  • Affiliations:
  • IBM T.J. Watson Research Center, Yorktown Heights, N.Y.;IBM T.J. Watson Research Center, Yorktown Heights, N.Y.;IBM T.J. Watson Research Center, Yorktown Heights, N.Y.;University of Michigan, Ann Arbor, Michigan

  • Venue:
  • SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2000

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Abstract

We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly and indexes them. This technique, along with a complementary analysis of questions, passage-level ranking and answer selection, produces a system effective at answering natural-language fact-seeking questions posed against large document collections. Experimental results show the effects of different parameter settings and lead to a number of general observations about the question-answering problem.