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Abstract: We explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms. The goal of our research is to develop a system that can distinguish subjective sentences from objective sentences. First, we use two bootstrapping algorithms that exploit extraction patterns to learn sets of subjective nouns. Then we train a Naive Bayes classifier using the subjective nouns, discourse features, and subjectivity clues identified in prior... (Update)
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BibTeX entry: (Update)
Riloff, E.; Wiebe, J.; and Wilson, T. 2003. Learning subjective nouns using extraction pattern bootstrapping. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-03). http://citeseer.comp.nus.edu.sg/663119.html More
@misc{ riloff03learning,
author = "E. Riloff and J. Wiebe and T. Wilson",
title = "Learning subjective nouns using extraction pattern bootstrapping",
text = "Riloff, E.; Wiebe, J.; and Wilson, T. 2003. Learning subjective nouns using
extraction pattern bootstrapping. In Proceedings of the Seventh Conference
on Natural Language Learning (CoNLL-03).",
year = "2003",
url = "citeseer.comp.nus.edu.sg/663119.html" }
Citations not processed or no citations identified.
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Just how mad are you? Finding strong and weak opinion clauses - Wilson, Wiebe, Hwa (2004) (Correct)
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