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» Evaluation in the context of natural language generation
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AIEDU
2008
112views more  AIEDU 2008»
13 years 3 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
CICLING
2010
Springer
14 years 2 days ago
GEMS: Generative Modeling for Evaluation of Summaries
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. In this paper we present a Generativ...
Rahul Katragadda
AI
2009
Springer
13 years 12 months ago
Novice-Friendly Natural Language Generation Template Authoring Environment
Abstract. Natural Language Generation (NLG) systems can make data accessible in an easily digestible textual form; but using such systems requires sophisticated linguistic and some...
Maria Fernanda Caropreso, Diana Inkpen, Shahzad Kh...
RANLP
2003
13 years 6 months ago
Near-synonym choice in natural language generation
We present Xenon, a natural language generation system capable of distinguishing between nearsynonyms. It integrates a near-synonym choice module with an existing sentence realiza...
Diana Zaiu Inkpen, Graeme Hirst
AIED
2005
Springer
13 years 10 months ago
Natural Language Generation for Intelligent Tutoring Systems: a case study
To investigate whether Natural Language feedback improves learning, we developed two different feedback generation engines, that we systematically evaluated in a three way comparis...
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan ...