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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|
|Funders:||Engineering and Physical Sciences Research Council (EPSRC) grants G033579/1 (Open University) and G032459/1 (University of Manchester).|
|Extra Information:||pp. 61-64|
|Keywords:||natural language generation; mathematical word problems; readability; cognitive difficulty; ontology verbalisation|
|Academic Unit/Department:||Mathematics, Computing and Technology > Computing|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Sandra Williams|
|Date Deposited:||16 Nov 2011 13:29|
|Last Modified:||10 May 2013 12:51|
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