Analysis of Italian Word Embeddings

July 27, 2017 ยท Declared Dead ยท ๐Ÿ› CLICIT

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Authors Rocco Tripodi, Stefano Li Pira arXiv ID 1707.08783 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 15 Venue CLICIT Last Checked 4 months ago
Abstract
In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word representation in vectorial space. We provide an accurate analysis and an evaluation, showing what are the best configuration of parameters for specific tasks.
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