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ENTITY AND RELATIONSHIP JOINT EXTRACTION METHOD ORIENTED TO SOFTWARE BUG KNOWLEDGE

机译:面向软件错误知识的实体和关系联合提取方法

摘要

Disclosed are an entity and relationship joint extraction method oriented to software bug knowledge, the method comprising: collecting text data of an open source bug library, and preprocessing the text data to obtain a bug text data corpus; extracting, from the bug text data corpus, a statement S for describing a bug, and processing S and taking same as a subsequent input statement; constructing an entity and relationship joint extraction model; acquiring an entity set E and a relationship set R corresponding to the input statement in conjunction with the established entity and relationship joint extraction model based on a transfer system; and outputting the entity set E and the relationship set R to complete joint extraction of entities and relationships. The invention helps a software developer to quickly and efficiently understand bug information to complete bug repair.
机译:公开了一种面向软件漏洞知识的实体和关系联合提取方法,该方法包括:收集开源漏洞库的文本数据,并对文本数据进行预处理以获得漏洞文本数据语料;从错误文本数据语料库中提取用于描述错误的语句S,并对其进行处理,并作为后续的输入语句;构建实体和关系联合提取模型;结合建立的实体和关系联合提取模型,获取基于输入系统的输入声明对应的实体集E和关系集R;输出实体集E和关系集R,以完成实体和关系的联合提取。本发明帮助软件开发人员快速有效地理解错误信息以完成错误修复。

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