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ONTOLOGICAL CATEGORIZATION OF QUESTION CONCEPTS FROM DOCUMENT SUMMARIES

机译:文档摘要中问题概念的本体分类

摘要

Electronic documents are analyzed to identify assertions, which are inverted to generate questions that may be answered by the assertions. A document or a corpus of electronic documents may be analyzed to identify entities and relationships among entities within the text of the document(s). Assertions are identified based on the entities and relationships among the entities. Each assertion represents a fact about an entity, and a group of assertions represents a summary of the document or document corpus. The assertions are inverted to generate questions that may be answered by the assertions. The questions may be further analyzed to identify relevant concepts and topics and to cluster the questions around the concepts and topics. A combined graph may also be generated that facilitates traversal among topics, concepts, questions, assertions, document summaries, and documents.
机译:对电子文档进行分析以识别断言,将其反转以生成可以由断言回答的问题。可以分析文档或电子文档的语料库以识别文档文本内的实体和实体之间的关系。根据实体和实体之间的关系来确定断言。每个断言代表有关实体的事实,一组断言代表文档或文档语料库的摘要。断言断言以生成可以由断言回答的问题。可以进一步分析问题,以识别相关的概念和主题,并围绕概念和主题对问题进行聚类。还可以生成组合图,该图有助于在主题,概念,问题,断言,文档摘要和文档之间进行遍历。

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