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PREDICATE-ARGUMENT STRUCTURE ANALYSIS METHOD, MODEL LEARNING METHOD, DEVICE, AND PROGRAM

机译:预测参数结构分析方法,模型学习方法,设备和程序

摘要

PROBLEM TO BE SOLVED: To accurately conduct analysis of a predicate-argument structure which includes whether a zero pronoun exists in the structure and whether a case is needed.SOLUTION: A candidate noun phrase extracting section 76 extracts, for a predicate contained in an analysis object sentence, candidate noun phrases containing: a noun phrase being a noun phrase candidate corresponding to the predicate; a special noun phrase ZERO; and a special noun phrase NULL. An antecedent generating section 78 generates, for each case, an antecedent aggregate containing: an antecedent related to the predicate; an antecedent related to the candidate noun phrase; an antecedent related to the case; and an antecedent related to a relationship between the predicate and the candidate noun phrase. An argument identifying section 80 identifies, for each case, one out of an argument being a noun phrase of the case corresponding to the predicate, a special noun phrase ZERO of the case corresponding to the predicate, and a special noun phrase NULL of the case corresponding to the predicate, for the predicate contained in the analysis object sentence, on the basis of the antecedent aggregate generated for each predicate-and-candidate noun phrase combination and case, and an argument identifying model learnt in advance.
机译:解决的问题:准确地进行谓词-自变量结构的分析,包括结构中是否存在零代词以及是否需要格。解决方案:候选名词短语提取部分76提取分析中包含的谓词。对象句子,候选名词短语,包含:名词短语,是与谓词相对应的名词短语候选;一个特殊的名词短语“零”;还有一个特殊的名词短语NULL。先行词生成部78分别生成先行词集合,其包含:与该谓词相关的先行词;与候选名词短语有关的先行词;与案件有关的先决条件;以及与谓词和候选名词短语之间的关系有关的先行词。自变量确定部分80针对每种情况,从自变量中确定一个,该自变量是与谓词相对应的格的名词短语,与谓词相对应的格的特殊名词短语ZERO和格的特殊名词短语NULL对于分析对象句子中包含的谓词,根据为每个谓词和候选名词短语组合和格生成的先行集合,以及事先学习的自变量识别模型,来确定与谓词相对应的谓词。

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