Typicality of Lexical Bundles in Different Sections of Scientific Articles
Pages 56 - 60
Abstract
This paper proposes a method to quantify the typicality of lexical bundles in sections of academic articles, specifically in the field of Natural Language Processing papers. Typicality is defined as the product of individual KL-divergence scores and the probability of a bundle to appear in a type of section. An evaluation of our typicality measure against two other baselines shows slight improvements according to the Silhouette coefficient.
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Published In
July 2020
125 pages
ISBN:9781450388627
DOI:10.1145/3421515
Copyright © 2020 ACM.
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Published: 17 December 2020
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