資訊檢索查詢之自然語言處理
Resource
中國圖書館學會會報，57，141-153
Journal
中國圖書館學會會報
Journal Issue
57
Pages
141-153
Date Issued
1996
Date
1996
Author(s)
Abstract
Many researchers have devoted to developing information retrieval systems for a long time. However, the form which users use to retrieve information is still keyword-based queries with Boolean operators. From user’s point of view, the most natural way to issue queries is using they mother tongue. That is, users are more likely to apply natural language queries to retrieve useful information. Some systems accept natural language queries, but the technique they use is simple pattern-matching. Such kind of technique does not discover the relationship among the keywords, and then does not understand the roles which these keywords play in natural language sentences. This paper proposes a new parsing technique, which can quickly and stably parse natural language sentences. Moreover, this parsing technique can find out the relationship among keywords and the roles of each grammatical constituents. The resource needed to construct a parser based on the proposed parsing technique is tagged text corpora. After a large-scale experiment, the recall and the precision are 33% based on the PARSEVAL criterion. The accuracy is 81% based on the Crossing criterion.
Subjects
Information Retrieval
Natural Language Processing
Parsing Technology
Publisher
臺北市:國立臺灣大學圖書資訊學系
Type
journal article
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