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2010

Automatically Generating Annotator Rationales to Improve Sentiment Classification

11 years 6 months ago
Automatically Generating Annotator Rationales to Improve Sentiment Classification
One of the central challenges in sentimentbased text categorization is that not every portion of a document is equally informative for inferring the overall sentiment of the document. Previous research has shown that enriching the sentiment labels with human annotators' "rationales" can produce substantial improvements in categorization 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.
Ainur Yessenalina, Yejin Choi, Claire Cardie
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ACL
Authors Ainur Yessenalina, Yejin Choi, Claire Cardie
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