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This paper presents an approach to automatically identify potentially nocuous ambiguities, which occur when text is interpreted differently by different readers of requirements written in natural language. We extract a set of anaphora ambiguities from a range of requirements documents, and collect multiple human judgments on their interpretations. The judgment distribution is used to determine if an ambiguity is nocuous or innocuous. We investigate a number of antecedent preference heuristicsdoi:10.1109/re.2010.14 dblp:conf/re/YangRGWN10 fatcat:32zbcrtwjffxzpbvxai4wzdddi