performance (Zaidan et al., 2007). We explore methods to automatically generate annotator rationales for document-level sentiment classification. Rather unexpectedly, we find the automatically generated rationales just as helpful as human rationales. 1 Introduction One of the central challenges in sentiment-based text categorization is that not every portion of a given document is equally informative for inferring its overall sentiment (e.g., Pang and Lee (2004)). Zaidan et al. (2007) address…
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