Keyness in Shakespeare's Plays

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00029025" target="_blank" >RIV/00216224:14330/07:00029025 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Keyness in Shakespeare's Plays
Original language description
This paper describes a novel method of identifying keyness in texts using relational learning. The relational learning is based on Inductive Logic Programing (ILP) in first-order logic. Using this method we can extract first-order logic formulas satisfied in a set of positive examples and not satisfied in a set of negative examples. We tested this method on a collection of Shakespeare's plays to identify keyness (or aboutness) of particular plays. The research was especially related to Hamlet, Prince ofDenmark which was already investigated by Mike Scott. He used his own tool WordSmith, based on wordlists generating. Aim of this paper is to describe another way of automatic identifying keyness and to show that this method can find more comprehensive keyness representation.
Czech name
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Czech description
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Project
<a href="/en/project/GA407%2F07%2F0679" target="_blank" >GA407/07/0679: Legal e-dictionary - PES</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Recent Advances in Slavonic Natural Language Processing
ISBN
978-80-210-4471-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Faculty of Informatics, Masaryk University
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2007
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000268015500013

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