OLAC Record
oai:lindat.mff.cuni.cz:11372/LRT-314

Metadata
Title:SynWSD
Bibliographic Citation:http://hdl.handle.net/11372/LRT-314
Contributor:Tufiş, Dan
Ion, Radu
Date (W3CDTF):2014-07-30T21:17:47Z
Date Available:2014-07-30T21:17:47Z
Description:SynWSD annotates at sense level all the content words of a given text. It is trained on texts previously annotated with [[http://www.clarin.eu/tools/ttl-tokenizing-tagging-and-lemmatizing-free-running-texts|TTL]]/[[http://www.clarin.eu/tools/lexpar-word-linker|LexPar]] and disambiguates texts annotated in the same way. It uses WordNet in XML BalkaNet format as a sense inventory. SynWSD is an unsupervised, knowledge-based WSD algorithm that uses the linkage of a sentence to estimate the meaning affinity between two linked words and also to disambiguate the words using the meaning affinity model constructed. More detailed descriptions are available in the following papers (http://www.racai.ro/~tufis/papers/): -- Radu Ion and Dan Tufiş (2007). RACAI: Meaning Affinity Models. In Eneko Agirre, Lluís Màrquez, and Richard Wicentowski (eds.), Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), pp. 282-287, Prague, Czech Republic, June 2007. Association for Computational Linguistics. -- Radu Ion (2006). Word sense disambiguation with lexical attraction models. Poster at First Central European Student Conference in Linguistics, CESCL 2006, Budapest, Hungary, May 29–31 2006. Research Institute for Linguistics of the Hungarian Academy of Sciences. -- Radu Ion (2007). Word Sense Disambiguation Methods Applied to English and Romanian. PhD thesis. Romanian Academy, Bucharest.
Identifier (URI):http://hdl.handle.net/11372/LRT-314
Language:English
Romanian
Language (ISO639):eng
ron
Publisher:Research Institute for Artificial Intelligence, Romanian Academy of Sciences
Type:toolService
Type (DCMI):Software

OLAC Info

Archive:  LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
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OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11372/LRT-314
DateStamp:  2016-04-06
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Citation: Tufiş, Dan; Ion, Radu. 2014. Research Institute for Artificial Intelligence, Romanian Academy of Sciences.
Terms: area_Europe country_GB country_RO dcmi_Software iso639_eng iso639_ron


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11372/LRT-314
Up-to-date as of: Sun Nov 26 2:05:32 EST 2017