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Word embeddings for morphologically complex languages


Word embeddings for morphologically complex languages

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dc.contributor.author Jurdziński, Grzegorz pl
dc.date.accessioned 2017-10-18T07:45:22Z
dc.date.available 2017-10-18T07:45:22Z
dc.date.issued 2016 pl
dc.identifier.issn 1732-3916 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/45271
dc.language eng pl
dc.rights Dozwolony użytek utworów chronionych *
dc.rights.uri http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf *
dc.title Word embeddings for morphologically complex languages pl
dc.type JournalArticle pl
dc.description.physical 127-138 pl
dc.abstract.en Recent methods for learning word embeddings, like GloVe orWord2Vec, succeeded in spatial representation of semantic and syntactic relations. We extend GloVe by introducing separate vectors for base form and grammatical form of a word, using morphosyntactic dictionary for this. This allows vectors to capture properties of words better. We also present model results for word analogy test and introduce a new test based on WordNet. pl
dc.subject.en machine learning pl
dc.subject.en word embeddings pl
dc.subject.en natural language processing pl
dc.subject.en morphology pl
dc.description.volume 25 pl
dc.identifier.doi 10.4467/20838476SI.16.010.6191 pl
dc.identifier.eissn 2083-8476 pl
dc.title.journal Schedae Informaticae pl
dc.language.container eng pl
dc.affiliation Wydział Matematyki i Informatyki pl
dc.subtype Article pl
dc.rights.original OTHER; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / P pl
.pointsMNiSW [2016 B]: 11

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