DIGITAL DOCUMENT READING SYSTEM, BROWSER, SENTENCE SUMMARY SYSTEM, METHOD FOR DISPLAYING DIGITAL DOCUMENT, METHOD FOR SUMMARIZING SENTENCE, PROGRAM AND STORAGE MEDIUM

    公开(公告)号:JP2002259112A

    公开(公告)日:2002-09-13

    申请号:JP2001039150

    申请日:2001-02-15

    Applicant: IBM

    Abstract: PROBLEM TO BE SOLVED: To provide a display method for enabling a user to understand the contents of a required part in a document and its summary while displaying the whole space without adding specific information to a digital document and destructing document structure such as the order of items. SOLUTION: A digital document reading system is provided with a layout engine 30 for determining the layout of a digital document based on history information concerned with the past display format of the digital document, a summary engine 40 for summarizing sentences in the digital document on the basis of the history information of the digital document, a view generation part 20 for generating information concerned with the display format of the digital document by arranging the summary obtained by the engine 40 in accordance with the determined layout, and a user interface part 10 for displaying the digital document on a display device based on the information concerned with the generated display format.

    NATURAL LANGUAGE ANALYING DEVICE AND METHOD AND METHOD OF CONSTITUTING KNOWLEDGE BASE FOR NATURAL LANGUAGE ANALYSIS

    公开(公告)号:JPH0447364A

    公开(公告)日:1992-02-17

    申请号:JP15557090

    申请日:1990-06-15

    Applicant: IBM

    Abstract: PURPOSE: To construct knowledge for canceling the structural equivocality of natural language by extracting pairs of modifying word and modified words concerning respective plural possible dependence relations concerning a sentence, for which structural equivocality is discriminated, and deciding the dependence relation of the highest likelihood based on the distance found for each pair. CONSTITUTION: The structural equivocality to be the maximum bottle neck for analyzing the natural language sentence is generated because plural modification (dependence) relations between vocabularies can be considered. Then, first of all, the knowledge is expressed in three structure showing synonymous relation, hierarchical relation and dependence relation. Concerning the equivocal modification, the dependence relation between vocaburaries defined in the background knowledge is searched by a dependence relation analyzer while using the synonymous relation or hierarchical relation, the optimum modification is selected while using limitations provided from the sentence and limitations provided from contexts, and equivocality is canceled. The fixed dependence structure is registered in a knowledge base as context dependence relation data. Thus, the knowledge for canceling structural equivocality in natural language can be constructed.

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