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CRO: a system for online review structurization
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Reliability and type of consumer health documents on the world wide web: an annotation study
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ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Contrasting opposing views of news articles on contentious issues
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Subjectivity and sentiment analysis of modern standard Arabic
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Filling the gap: semi-supervised learning for opinion detection across domains
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Subjectivity and sentiment annotation of modern standard Arabic newswire
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Analyzing text data for opinion mining
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
What determines inter-coder agreement in manual annotations? a meta-analytic investigation
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Offensive language detection using multi-level classification
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ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
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Computer Speech and Language
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This paper presents a case study of analyzing and improving intercoder reliability in discourse tagging using statistical techniques. Bias-corrected tags are formulated and successfully used to guide a revision of the coding manual and develop an automatic classifier.