Generating varied narrative probability exercises

Authors:
Mariët Theune;Roan Boer Rookhuiszen;Rieks op den Akker;Hanneke Geerlings
Affiliations:
University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands
Venue:
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Year:
2011

Citing 3
Cited 0

Building natural language generation systems

Building natural language generation systems
Generating clausal coordinate ellipsis multilingually: a uniform approach based on postediting

ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Human evaluation of a german surface realisation ranker

Empirical methods in natural language generation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents Genpex, a system for automatic generation of narrative probability exercises. Generation of exercises in Genpex is done in two steps. First, the system creates a specification of a solvable probability problem, based on input from the user (a researcher or test developer) who selects a specific question type and a narrative context for the problem. Then, a text expressing the probability problem is generated. The user can tune the generated text by setting the values of some linguistic variation parameters. By varying the mathematical content of the exercise, its narrative context and the linguistic parameter settings, many different exercises can be produced. Here we focus on the natural language generation part of Genpex. After describing how the system works, we briefly present our first evaluation results, and discuss some aspects requiring further investigation.