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Generating mathematical word problems

Williams, Sandra (2011). Generating mathematical word problems. In: 2011 Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium on Question Generation, 4-6 November 2011, Arlington, Virginia, USA, pp. 61–64.

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Abstract

This paper describes a prototype system that generates mathematical word problems from ontologies in unrestricted domains. It builds on an existing ontology verbaliser that renders logical statements written in Web Ontology Language (OWL) as English sentences. This kind of question is more complex than those normally attempted by question generation systems, since mathematical word problems consist of a number of sentences that communicate a short narrative (in addition to providing the relevant numerical information required to solve the underlying mathematical problem). Thus, they embody many research issues that do not crop up with single-sentence questions. As well as describing the prototype system, I discuss five ways in which the difficulty of the generated questions may be controlled automatically during generation.

Item Type: Conference Item
Copyright Holders: 2011 Association for the Advancement of Artificial Intelligence
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetG033579/1EPSRC
Not SetG032459/1EPSRC
Keywords: natural language generation; mathematical word problems; readability; cognitive difficulty; ontology verbalisation
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 30116
Depositing User: Sandra Williams
Date Deposited: 16 Nov 2011 13:29
Last Modified: 26 Mar 2014 06:10
URI: http://oro.open.ac.uk/id/eprint/30116
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