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ACL
2010
13 years 8 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 docum...
Ainur Yessenalina, Yejin Choi, Claire Cardie
EMNLP
2008
14 years 7 days ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
EMNLP
2010
13 years 8 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie
EMNLP
2006
14 years 6 days ago
Automatic classification of citation function
The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improvement of impact factor calculations to text summarisation an...
Simone Teufel, Advaith Siddharthan, Dan Tidhar
WEBNET
2001
14 years 5 days ago
Personal Information Organization using Web Annotations
: As more information is made available online, users collect information in personal information spaces like bookmarks and emails. While most users feel that organizing these coll...
Laurent Denoue, Laurence Vignollet