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Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention
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Embedding Learning Through Multilingual Concept Induction
Fraser, Alexander; Zhao, Mengjie; Dufter, Philipp; Schütze, Hinrich; Schmitt, Martin. - : Ludwig-Maximilians-Universität München, 2018
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.
Keyword: ddc:000; ddc:004; ddc:400; ddc:410
URL: https://epub.ub.uni-muenchen.de/61841/
https://doi.org/10.5282/ubm/epub.61841
https://epub.ub.uni-muenchen.de/61841/1/P18-1141.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-61841-5
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Embedding Learning Through Multilingual Concept Induction ...
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Embedding Learning Through Multilingual Concept Induction ...
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018
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