The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion

By Scott Andrew Crossley, K. Kyle, Danielle S. McNamara. Behavior Research Methods, 2015

338 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/1dfe4df44e87d4b481c2052278f6a3e947963cf8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kathryn S. McCarthy
2. Danielle S. McNamara
3. Scott Andrew Crossley
4. A. Graesser
5. Max M. Louwerse
6. K. Kyle
7. Tom Salsbury
8. P. M. McCarthy

In Information Systems

1. Kathryn S. McCarthy
2. Danielle S. McNamara

Citations in the corpus

• The Multidimensional Knowledge in Text Comprehension framework (2021, methodology): “…is to ask students to write open-ended explanations of a topic before reading and then use computational linguistic tools (e.g., Coh-Metrix: McNamara et al., 2014; Tool for the Automated Assessment of Cohesion: Crossley et al., 2016, 2019) to automatically evaluate the cohesion of this response.”