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ALL-IN-1: Short Text Classification with One Model for All Languages
October 26, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Barbara Plank
arXiv ID
1710.09589
Category
cs.CL: Computation & Language
Citations
3
Venue
arXiv.org
Last Checked
5 months ago
Abstract
We present ALL-IN-1, a simple model for multilingual text classification that does not require any parallel data. It is based on a traditional Support Vector Machine classifier exploiting multilingual word embeddings and character n-grams. Our model is simple, easily extendable yet very effective, overall ranking 1st (out of 12 teams) in the IJCNLP 2017 shared task on customer feedback analysis in four languages: English, French, Japanese and Spanish.
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