Analysis of Italian Word Embeddings
July 27, 2017 ยท Declared Dead ยท ๐ CLICIT
"No code URL or promise found in abstract"
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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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