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Natural language is prevalent in requirements documents. However, ambiguity is an intrinsic phenomenon of natural language, and is therefore present in all such documents. Ambiguity occurs when a sentence can be interpreted differently by different readers. In this paper, we describe an automated approach for characterizing and detecting so-called nocuous ambiguities, which carry a high risk of misunderstanding among different readers. Given a natural language requirements document, sentencesdoi:10.1145/1858996.1859007 dblp:conf/kbse/YangWRN10 fatcat:j4irxiz3c5htzeh34pn6e7hg5y