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dc.contributor.authorBorg, Claudia-
dc.contributor.authorRosner, Michael-
dc.contributor.authorPace, Gordon J.-
dc.identifier.citationBorg, C., Rosner, M., & Pace, G. J. (2010). Automatic grammar rule extraction and ranking for definitions. LREC 2010 Proceedings, Valletta. 2577-2584.en_GB
dc.description.abstractLearning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which would ideally be presented separately as a glossary for easy access. The problem is that manual extraction of such information can be tedious and time consuming. In this paper we describe two experiments carried out to enable the automated extraction of definitions from non-technical learning texts using evolutionary algorithms. A genetic programming approach is used to learn grammatical rules helpful in discriminating between definitions and non-definitions, after which, a genetic algorithm is used to learn the relative importance of these features, thus enabling the ranking of candidate sentences in order of confidence. The results achieved are promising, and we show that it is possible for a Genetic Program to automatically learn similar rules derived by a human linguistic expert and for a Genetic Algorithm to then give a weighted score to those rules so as to rank extracted definitions in order of confidence in an effective manner.en_GB
dc.publisherUniversity of Malta. Faculty of Information and Communication Technologyen_GB
dc.subjectWeb-based instruction -- Designen_GB
dc.subjectGenetic algorithmsen_GB
dc.subjectGenetic programming (Computer science)en_GB
dc.subjectRule-based programmingen_GB
dc.titleAutomatic grammar rule extraction and ranking for definitionsen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencenameLREC 2010en_GB
dc.bibliographicCitation.conferenceplaceValletta, Malta, 17-23/05/2010en_GB
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