首页> 外文会议>7th International Conference on Natural Language Processing and Knowledge Engineering >Ambiguity spotting using wordnet semantic similarity in support to recommended practice for Software Requirements Specifications
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Ambiguity spotting using wordnet semantic similarity in support to recommended practice for Software Requirements Specifications

机译:使用词网语义相似性进行歧义识别以支持软件需求规范的推荐做法

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摘要

Word Sense Disambiguation is a crucial problem in documents whose purpose is to serve as specifications for automatic systems. The combination of different techniques of Natural Language Processing can help in this task. In this paper, we show how to detect ambiguous terms in Software Requirements Specifications. And we propose a computer-aided method that signals the reader for possibly ambiguous usage of terms. The method uses compound term measure (C-value), WordNet semantic similarity (WordNet wup_similarity) and a proposed semantic similarity measure between sentences.
机译:词义消歧是文档中的一个关键问题,其目的是用作自动系统的规范。自然语言处理的不同技术的组合可以帮助完成此任务。在本文中,我们展示了如何检测软件需求规范中的歧义术语。并且,我们提出了一种计算机辅助方法,该方法可以向读者发出信号,提示他们可能会使用不明确的术语。该方法使用复合术语量度(C值),WordNet语义相似度(WordNet wup_similarity)和句子之间的拟议语义相似度。

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