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DC Field | Value | Language |
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dc.contributor.author | Borg, Claudia | - |
dc.contributor.author | Rosner, Michael | - |
dc.contributor.author | Pace, Gordon J. | - |
dc.date.accessioned | 2017-11-21T08:19:34Z | - |
dc.date.available | 2017-11-21T08:19:34Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Borg, C., Rosner, M., & Pace, G. J. (2008). Definition characterisation through genetic algorithms. First National ICT Conference, Valletta. 1-6. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/24008 | - |
dc.description.abstract | The identification of definitions from natural language texts is useful in learning environments, for glossary creation and question answering systems. It is a tedious task to extract such definitions manually, and several techniques have been proposed for automatic definition identification in these domains, including rule-based and statistical methods. These techniques usually rely on linguistic expertise to identify grammatical and word patterns which characterize definitions. In this paper, we look at the use of machine learning techniques, in particular genetic algorithms, to enable the automatic extraction of definitions. Genetic algorithms are used to determine the relative importance of a set of linguistic features which can be present or absent in definitional sentences as a set of numerical weights. These weights provide an importance measure to the set of features. In this work we report on the results of various experiments carried out and evaluate them on an eLearning corpus. We also propose a way forward for discovering such features automatically through genetic programming and suggest how these two techniques can be used together for definition extraction. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | University of Malta. Faculty of Information and Communication Technology | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Genetic algorithms | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Natural language processing (Computer science) | en_GB |
dc.title | Definition characterisation through genetic algorithms | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The 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.conferencename | First National ICT Conference | en_GB |
dc.bibliographicCitation.conferenceplace | Valletta, Malta, 17-18/11/2008 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - FacICTAI Scholarly Works - FacICTCS |
Files in This Item:
File | Description | Size | Format | |
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Definition_Characterisation_through_Genetic_Algori.pdf | 70.54 kB | Adobe PDF | View/Open |
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