In order to deal with ambiguity in natural language, it is common to organise words, according to their senses, in synsets, which are groups of synonymous words that can be seen as concepts. The manual creation of a broad-coverage synset base is a time- consuming task, so we take advantage of dictionary definitions for extracting synonymy pairs and clus- tering for identifying synsets. Since word senses are not discrete, we create fuzzy synsets, where each word has a membership degree. We report on the results of the creation of a fuzzy synset base for Portuguese, from three electronic dictionaries. The resulting resource is larger than existing hancrafted Portuguese thesauri.
Keywords
Word Senses, Synsets, Fuzzy Clustering, Uncertainty
Subject
Fuzzy Clustering
Related Project
Onto.PT
Conference
22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, July 2011
Cited by
Year 2020 : 1 citations
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Year 2016 : 2 citations
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Year 2015 : 2 citations
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Year 2014 : 3 citations
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Year 2013 : 1 citations
Madeeh Nayer El-Gedawy. Using Fuzzifiers to Solve Word Sense Ambiguation in Arabic Language. International Journal of Computer Applications (0975 – 8887), Volume 79 – No2, October 2013
Year 2012 : 2 citations
Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.
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