Automated Evaluation of Text and Discourse with Coh-Metrix: List of Tables
By Danielle S. McNamara, A. Graesser, P. M. McCarthy, Zhiqiang Cai. 2014
481 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/bdc75312092f9bc157750bbfca73cb4957b1093f
Citations in the corpus
- The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion (2015, unknown): “Many of the connective indices are similar to those found in Coh-Metrix (McNamara et al. 2014) and are theoretically based on two dimensions.”
- Let’s not forget: Learning analytics are about learning (2014, unknown): “mining and natural language processing methods to conduct based content and discourse analysis is a critically important research direction (McNamara et al., 2014).”
- Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application (2015, unknown): “The freely available online version of Coh-Metrix, for example, despite reporting a number of lexical indices, can process only one text at a time, practically limiting the number of texts that can be examined.”
- Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies (2020, unknown): “…2014; Shute & Ventura, 2013); text mining that reads into students ’ writing or speaking in natural language for possible semantics (Burstein, 2009; McNamara, Graesser, McCarthy, & Cai, 2014; Ros (cid:1) e & Ferschke, 2016; Zhai & Massung, 2016); and computer-managed peer assessments (Balfour,…”