Jeff Dodick

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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 indicate (partially) how different genres structure texts and express attitudes towards propositions in the text. Using such features(More)
Recently, philosophers of science have argued that the epistemological requirements of different scientific fields lead necessarily to differences in scientific method. In this paper, we examine possible variation in how language is used in peer-reviewed journal articles from various fields to see if features of such variation may help to elucidate and(More)
Studying the communication patterns of scientists can give us insight into how science works in practice. We have been studying the language of peer-reviewed journal articles in several scientific fields, and argue that methodological differences between different scientific fields are reflected in differences in how scientists in these fields rhetorically(More)
The Tree of Life is revolutionizing our understanding of life on Earth, and, accordingly, evolutionary trees are increasingly important parts of exhibits on biodiversity and evolution. The authors argue that in using these trees to effectively communicate evolutionary principles, museums need to take into account research results from cognitive,(More)
This chapter studies the use of textual features based on systemic functional linguistics, for genre-based text categorization. We describe feature sets that represent different types of conjunctions and modal assessment, which together can partially indicate how different genres structure text and may prefer certain classes of attitudes towards(More)
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