USING ARGUMENTATION FOR IDENTIFYING NON-AMBIGUOUS INTERPRETATIONS OF NATURAL LANGUAGE

被引：0

作者：

Popovici, Matei ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Bucharest, Romania

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE 'LINQUISTIC RESOURCES AND TOOLS FOR PROCESSING THE ROMANIAN LANGUAGE', 2014 | 2014年

关键词：

argumentation; natural language processing; entailment;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

We introduce Argumentation Theory as a setting for identifying non-conflicting interpretations of natural language discourses. Following existing work on textual entailment, our solution relies on extracting entailments and contradictions from texts. We cast the former and latter into arguments and attacks from Argumentation Theory, respectively. Finally, we examine different types of semantics and select the preferred semantics as the appropriate characterisation which yields un-ambiguous interpretations of a discourse.

引用

页码：171 / 180

页数：10

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