Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBorg, Claudia-
dc.contributor.authorRosner, Michael-
dc.contributor.authorPace, Gordon J.-
dc.identifier.citationBorg, C., Pace, G. J., & Rosner, M. (2007). Towards automatic extraction of definitions. 5th Computer Science Annual Workshop (CSAW’07), Msida. 52-65.en_GB
dc.description.abstractDefinition extraction can be useful for the creation of glossaries and in question answering systems. It is a tedious task to extract such sentences manually, and thus an automatic system is desirable. In this work we review various attempts at rule-based approaches reported in the literature and discuss their results. We also propose a novel experiment involving the use of genetic programming and genetic algorithms, aimed at assisting the discovery of grammar rules which can be used for the task of definition extraction.en_GB
dc.publisherUniversity of Malta. Faculty of ICTen_GB
dc.subjectWeb-based instruction -- Designen_GB
dc.subjectGenetic algorithmsen_GB
dc.subjectGenetic programming (Computer science)en_GB
dc.subjectRule-based programmingen_GB
dc.titleTowards automatic extraction of 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 holder.en_GB
dc.bibliographicCitation.conferencename5th Computer Science Annual Workshop (CSAW’07)en_GB
dc.bibliographicCitation.conferenceplaceMsida, Malta, 5-6/11/2007en_GB
Appears in Collections:Scholarly Works - FacICTAI
Scholarly Works - FacICTCS

Files in This Item:
File Description SizeFormat 
Proceedings of CSAW’07 - A6.pdf228.68 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.