  We propose a method for using the scoring values of passages to effectively
retrieve documents in a Question Answering system.
  For this, we suggest evaluation function that considers proximity between
each question terms in passage. And using this evaluation function , we extract
a documents which involves scoring values in the highest collection, as a
suitable document for question.
  The proposed method is very effective in document retrieval of Korean
question answering system.
