Coh-Metrix: Capturing Linguistic Features of Cohesion

By Danielle S. McNamara, Max M. Louwerse, P. M. McCarthy, A. Graesser. 2010

327 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/8b12a4c69d00b6ed5ed36ff58a38d38815fc3be0

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Citations in the corpus

Comprehension challenges in the fourth grade: The roles of text cohesion, text genre, and readers' prior knowledge (2011, background): “Thus, one possible interpretation for the emergence of comprehension difficulties around the fourth grade is that children lack sufficient prior knowledge to comprehend expository texts that are introduced during this period.”
Cohesion, coherence, and expert evaluations of writing proficiency (2010, methodology): “Thus, unlike McNamara et al. (2010), we do not rely solely on computational indices to model overall essay quality, but instead concentrate on the evaluation of human judgments of individual text features in relation to overall text quality.”
Coh-Metrix (2011, background): “…that referential and causal cohesion both have a substantial impact on reading time and comprehension (Goldman et al., 1999; O’Brien et al., 1998; Zwaan & Radvansky, 1998), and also that Coh-Metrix is sufficiently sensitive to detect these particular cohesion manipulations (McNamara et al., 2010).”
The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion (2015, methodology): “…has suggested that the use of local cohesion devices may have little to no relation to expert ratings of text quality (McNamara et al. 2013; McNamara et al. 2010a, b), and some cohesion research has even yielded negative correlations to writing quality (Crossley & McNamara, 2010, 2011,…”
Neural Net Models for Open-Domain Discourse Coherence (2016, background): “Psychological models of discourse (Foltz et al., 1998; Foltz, 2007; McNamara et al., 2010) generalize lexical cohesion via LSA embeddings of sentences.”