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- W2796102736 abstract "This study revisits the problem of maximizing the performance of mathematical word representations for a given task. It is aimed to improve performance in analogy and similarity tasks by suggesting innovative weights instead of the counting weights used conventionally in counting-based methods of generating word representations (adding the statistics of word co-occurrences to the account). The language of study was selected as Turkish. The root structures of Turkish words were managed during the compilation of corpus such that each word having a suffix was considered as a new word. The performance of the proposed co-occurrence weights are analyzed with respect to the varying parameter and the results are presented within the paper." @default.
- W2796102736 created "2018-04-13" @default.
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- W2796102736 date "2018-04-05" @default.
- W2796102736 modified "2023-09-26" @default.
- W2796102736 title "KELİME TEMSİLLERİ İÇİN TEST PERFORMANSINI GELİŞTİRMEYE YÖNELİK EŞDİZİMLİLİK AĞIRLIKLARININ SEÇİMİ" @default.
- W2796102736 doi "https://doi.org/10.17482/uumfd.318615" @default.
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