Syntagmatic, paradigmatic, and automatic N-gram approaches to assessing essay quality

Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

Volumn , Issue , 2012, Pages 214-219

  Crossley, Scott A ^a   Cai, Zhiqiang ^b   McNamara, Danielle S ^c  

^a GEORGIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MEMPHIS   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIGHLY-CORRELATED; TEXT LENGTH; WRITING QUALITY;

ARTIFICIAL INTELLIGENCE; FACTOR ANALYSIS; REGRESSION ANALYSIS; STATISTICS;

QUALITY CONTROL;

EID: 84864974267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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