Isamu Iwai

Development of document architecture extraction

The purpose of this study is the reduction of the burden in the document structurization process. A technique is presented for extracting the document architecture. As the technical document, 12,000 articles are extracted from the proceedings of a national convention. A summary of sample sentences as well as approximately 500 office documents within the organization also are examined as business documents. The rules for extracting the architecture are derived. The technique developed for document architecture extraction can extract such hierarchical structures as chapters and sections, as well as the reference structure to figures and tables from the technical document. The technique can also extract the hierarchical structure such as communications and reports from the business document. The technical and business documents can be discriminated by analyzing the character strings. As a result of evaluation using proceedings and in-office documents other than those used for deriving the rules, the error rate is 10.0 percent for the technical document and 23.0 percent for the business document. The error in extracting the reference structure is 8 percent. A field test is executed after improving the method so that the equations, figures and tables embedded in the text can be handled. The error rate is 5.4 percent for the technical document and 15.4 percent for the business document. It is verified through examples that the structurization can be achieved in a considerably shorter time than by manual processing. The developed document architecture extraction technique is commercialized as an automatic system by combining the technique with the layout attribute. The developed extraction technique will be utilized effectively in the hypertext conversion of the existing document and other problems, in addition to the layout processing.

Research on Model Based Document Processing System DARWIN

This paper describes a newly developed automatic document architecture extraction system with a document entity model. Hierarchical and anaphoric structural knowledge for chapter and anaphora is represented as a grammar in the document entity model. Automatic document architecture extraction is the first phase of a model based document processing system. DARWIN (Document Architecture Realization for Well-informed INterface). The purpose of DARWIN is to provide a natural and comfortable document processing environment for both authors and readers. Two other models, an author model and a reader model, are going to be embedded. Experimental results have shown that the automatic document architecture extraction system is sufficiently powerful to detect hierarchical and anaphoric structures. This paper is structured and formatted by the current DARWIN system. in which a simple reader model is implemented