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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...
A number of computational models simulate the grounded learning of units of language in the early learner. But can this initial lexical knowledge be used to acquire complex grammatical notions such as anaphora? We build on earlier work, where we simulate a language learner with perceptual attention and learn, in an unsupervised manner, a set of action models along with the participating agents, and...
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