This paper presents how the online tool GREW-MATCH can be used to make queries and visualise data from existing semantically annotated corpora. A dedicated syntax is available to construct simple to complex queries and execute them against a corpus. Such queries give transverse views of the annotated data, these views can help for checking the consistency of annotations in one corpus or across several corpora. GREW-MATCH can then be seen as an error mining tool: when inconsistencies are detected, it helps finding the sentences which should be fixed. Finally, GREW-MATCH can also be used as a side tool to assist annotation tasks helping to find annotation examples in existing corpora to be compared to the data to be annotated.
翻译:本文介绍了如何利用在线工具GROW-MACH技术从现有的语义注释公司中查询和直观数据。 专用语法可用于构建简单到复杂的查询,并针对一个实体执行这些查询。 这些查询对附加说明的数据提供了横向观点,这些观点有助于检查一个或多个实体中说明的一致性。 然后,GROW-MACH技术可被视为一个错误的采矿工具:当发现不一致之处时,它有助于找到应当固定的句子。 最后,GREW-MACH还可以用作辅助工具,协助开展说明工作,帮助在现有公司中找到与附加说明的数据相比较的说明性实例。