Managing Uncertainty in Semantic Tagging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130035" target="_blank" >RIV/00216208:11320/12:10130035 - isvavai.cz</a>
Result on the web
<a href="http://aclweb.org/anthology-new/E/E12/E12-1085.pdf" target="_blank" >http://aclweb.org/anthology-new/E/E12/E12-1085.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Managing Uncertainty in Semantic Tagging
Original language description
Low interannotator agreement (IAA) is a well-known issue in manual semantic tagging (sense tagging). IAA correlates with the granularity of word senses and they both correlate with the amount of information they give as well as with its reliability. We compare different approaches to semantic tagging in WordNet, FrameNet, Prop- Bank and OntoNotes with a small tagged data sample based on the Corpus Pattern Analysis to present the reliable information gain (RG), a measure used to optimize the semantic granularity of a sense inventory with respect to its reliability indicated by the IAA in the given data set. RG can also be used as feedback for lexicographers, and as a supporting component of automatic semantic classifiers, especially when dealing with avery fine-grained set of semantic categories.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 13th Conference of the European Chapter of the Association for Computational Linguistics
ISBN
978-1-937284-19-0
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
840-850
Publisher name
Association for Computational Linguistics
Place of publication
Avignon, France
Event location
Avignon, France
Event date
Apr 23, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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