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Institute of Formal and Applied Linguistics

at Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

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Year 2012
Type in proceedings
Status published
Language English
Author(s) Cinková, Silvie Holub, Martin Kríž, Vincent
Title Managing Uncertainty in Semantic Tagging
Czech title Kontrola nejistoty v sémantickém značkování
Proceedings 2012: Avignon, France: EACL 2012: Proceedings of 13th Conference of the European Chapter of the Association for Computational Linguistics
Pages range 840-850
How published online
URL http://aclweb.org/anthology-new/E/E12/E12-1085.pdf
Supported by 2012-2018 GBP103/12/G084 (Centrum pro multi-modální interpretaci dat velkého rozsahu) 2009-2012 FP7-ICT-2007-3-231720 (EuroMatrix Plus) 2009-2012 7E09003 (EuroMatrixPlus – Bringing Machine Translation for European Languages to the User) 2012-2016 PRVOUK P46 (Informatika)
Czech abstract Nízká mezianotátorská shoda (IAA) je známým problémem v sémantickém značkování. IAA koreluje s granularitou lexií a oboje koreluje s množstvím informace i s její spolehlivosí. Představujeme Reliable Gain (RG), míru, která optimalizuje sémantickou granularitu se zřetelem ke spolehlivosti informace.
English abstract 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 a very fine-grained set of semantic categories.
Specialization linguistics ("jazykověda")
Confidentiality default – not confidential
Open access no
ISBN* 978-1-937284-19-0
Address* Avignon, France
Month* April
Venue* Université d'Avignon
Publisher* Association for Computational Linguistics
Organization* Association for Computational Linguistics (ACL), 209 N. Eighth Street Stroudsburg, PA 18360 USA
Creator: Common Account
Created: 10/16/12 11:50 AM
Modifier: Common Account
Modified: 11/23/15 11:19 AM

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