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Classifying Factored Genres with Part-of-Speech Histograms.

, , , and . HLT-NAACL (Short Papers), page 173-176. The Association for Computational Linguistics, (2009)

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HMC at SemEval-2016 Task 11: Identifying Complex Words Using Depth-limited Decision Trees., and . SemEval@NAACL-HLT, page 1034-1037. The Association for Computer Linguistics, (2016)Harvey Mudd College at SemEval-2019 Task 4: The Carl Kolchak Hyperpartisan News Detector., , , and . SemEval@NAACL-HLT, page 957-961. Association for Computational Linguistics, (2019)A New Phase in Annotation Tool Development at the Linguistic Data Consortium: The Evolution of the Annotation Graph Toolkit., , , and . LREC, page 1570-1573. European Language Resources Association (ELRA), (2006)Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector., , , and . SemEval@NAACL-HLT, page 962-966. Association for Computational Linguistics, (2019)Harvey Mudd College at SemEval-2019 Task 4: The D.X. Beaumont Hyperpartisan News Detector., , , and . SemEval@NAACL-HLT, page 967-970. Association for Computational Linguistics, (2019)Classifying Factored Genres with Part-of-Speech Histograms., , , and . HLT-NAACL (Short Papers), page 173-176. The Association for Computational Linguistics, (2009)An Efficient Approach to Gold-Standard Annotation: Decision Points for Complex Tasks., , , and . LREC, European Language Resources Association (ELRA), (2006)Identifying targets for syntactic simplification., and . SLaTE, page 69-72. ISCA, (2011)Atypical Prosodic Structure as an Indicator of Reading Level and Text Difficulty., and . HLT-NAACL, page 715-720. The Association for Computational Linguistics, (2013)Analysis of vocabulary difficulty using Wiktionary., and . SLaTE, page 61-64. ISCA, (2009)