Search Results for author: Aleks Drozd

Found 7 papers, 0 papers with code

Subword-level Composition Functions for Learning Word Embeddings

no code implementations WS 2018 Bofang Li, Aleks Drozd, R, Tao Liu, Xiaoyong Du

Subword-level information is crucial for capturing the meaning and morphology of words, especially for out-of-vocabulary entries.

Learning Word Embeddings

Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen

no code implementations COLING 2016 Aleks Drozd, R, Anna Gladkova, Satoshi Matsuoka

Solving word analogies became one of the most popular benchmarks for word embeddings on the assumption that linear relations between word pairs (such as \textit{king}:\textit{man} :: \textit{woman}:\textit{queen}) are indicative of the quality of the embedding.

BIG-bench Machine Learning Morphological Analysis +3

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