Evidential analysis of reported speech
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Advances in knowledge discovery and data mining
Generating natural language under pragmatic constraints
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Expert Systems with Applications: An International Journal
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IEEE Transactions on Audio, Speech, and Language Processing
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
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AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
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SAMAR: Subjectivity and sentiment analysis for Arabic social media
Computer Speech and Language
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In this paper, we describe a case study of a sentence-level categorization in which tagging instructions are developed and used by four judges to classify clauses from the Wall Street Journal as either subjective or objective. Agreement among the four judges is analyzed, and based on that analysis, each clause is given a final classification. To provide empirical support for the classifications, correlations are assessed in the data between the subjective category and a basic semantic class posited by Quirk, Greenbaum, Leech and Svartvik (1985).