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  • Detecting semantic shifts in Slovene twitterese [Elektronski vir]
    Fišer, Darja, 1978- ; Ljubešić, Nikola, 1979-
    This paper presents first results of automatic semantic shift detection in Slovene tweets. We use word embeddings to compare the semantic behaviour of common words frequently occurring in a reference ... corpus of Slovene with their behaviour on Twitter. Words with the highest model distance between the corpora are considered as semantic shift candidates. They are manually analysed and classified in order to evaluate the proposed approach as well as to gain a better qualitative understanding of the nature of the problem. Apart from the noise due to preprocessing errors (45%), the approach yields a lot of valuable candidates, especially the novel senses occurring due to daily events and the ones produced in informal communication settings.
    Source: RASLAN 2016 [Elektronski vir] : Recent Advances in Slavonic Natural Language Processing : proceedings (Str. 43-50)
    Type of material - conference contribution
    Publish date - 2016
    Language - english
    COBISS.SI-ID - 62993506

    Link(s):

    https://nlp.fi.muni.cz/raslan/raslan16.pdf

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