An Acquisition Method on Term Knowledge from Operating Manuals for Information Equipments by Using the Structure of Headline Sentences

Abstract

This paper proposes a method for automatically extracting term knowledge such as case relations and IS-A relations between words in the headline sentences of the operating manuals for information equipments. The proposed method acquires term knowledge by the following iterative processing: the case relation extraction using correspondence relations between the surface cases and the deep cases; the case and IS-A relation extraction using the compound word structures; the IS-A relation extraction using correspondence between the case structures in the hierarchical headline sentences. The distinctive feature of our method is to extract new case relations and IS-A relations by comparison and matching the case relations extracting from the super and sub headline sentences using the headline hierarchy. We have confirmed that the proposed method to achieve approximately 90% recall and precision for extracting case relations and IS-A relations from operating manuals of a car navigation system and a mobile phone.