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- W2798669739 abstract "We present a new method for estimating vector space representations of words: embedding learning by concept induction. We test this method on a highly parallel corpus and learn semantic representations of words in 1259 different languages in a single common space. An extensive experimental evaluation on crosslingual word similarity and sentiment analysis indicates that concept-based multilingual embedding learning performs better than previous approaches." @default.
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- W2798669739 date "2018-01-01" @default.
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- W2798669739 title "Embedding Learning Through Multilingual Concept Induction" @default.
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- W2798669739 doi "https://doi.org/10.18653/v1/p18-1141" @default.
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