6533b835fe1ef96bd129ff31

RESEARCH PRODUCT

ETAT: Expository Text Analysis Tool.

Ramiro GilabertArthur C. GraesserJ. CalpeHéctor ReyesEmilio SoriaEduardo Vidal-abarca

subject

JavaComputer scienceWritingExperimental and Cognitive Psychologycomputer.software_genreText comprehensionSoftwareMicrocomputersArtificial IntelligenceQuestion answeringSegmentationObjectivity (science)General Psychologycomputer.programming_languageInformation ServicesObserver Variationbusiness.industryReading comprehensionProgramming LanguagesPsychology (miscellaneous)Artificial intelligenceWord ProcessingbusinesscomputerNatural language processingSoftwareCoding (social sciences)

description

Qualitative methods that analyze the coherence of expository texts not only are time consuming, but also present challenges in collecting data on coding reliability. We describe software that analyzes expository texts more rapidly and produces a notable level of objectivity. ETAT (Expository Text Analysis Tool) analyzes the coherence of expository texts. ETAT adopts a symbolic representational system, known as conceptual graph structures. ETAT follows three steps: segmentation of a text into nodes, classification of the unidentified nodes, and linking the nodes with relational arcs. ETAT automatically constructs a graph in the form of nodes and their interrelationships, along with various attendant statistics and information about noninterrelated, isolated nodes. ETAT was developed in Java, so it is compatible with virtually all computer systems.

10.3758/bf03195428https://pubmed.ncbi.nlm.nih.gov/12060996