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Conjunction and Modal Assessment in Genre Classification: A Corpus-Based Study of Historical and Experimental Science Writing
 

Summary: Conjunction and Modal Assessment in Genre Classification:
A Corpus-Based Study of Historical and Experimental Science Writing
Shlomo Argamon Jeff Dodick
Dept. of Computer Science
Illinois Institute of Technology
Chicago, IL 60645
Department of Learning Sciences
Northwestern University
Evanston, IL 60208
argamon@iit.edu j-dodick@northwestern.edu
Abstract
We use textual features motivated by systemic functional
linguistic theory for genre-based text categorization. We
have developed feature sets representing different types of
conjunctions and modal assessment, which together indi-
cate (partially) how different genres structure texts and
express attitudes towards propositions in the text. Using
such features enables analysis of large-scale rhetorical dif-
ferences between genres by examining which features are
important for classification. The specific domain studied

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences