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Zhao, Mengjie; Schütze, Hinrich (28. July 2019): A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction. UNSPECIFIED, July 28 - August 2, 2019, Florence, Italy
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Abstract

We present a new method for sentiment lex- icon induction that is designed to be appli- cable to the entire range of typological di- versity of the world’s languages. We eval- uate our method on Parallel Bible Corpus+ (PBC+), a parallel corpus of 1593 languages. The key idea is to use Byte Pair Encodings (BPEs) as basic units for multilingual em- beddings. Through zero-shot transfer from English sentiment, we learn a seed lexicon for each language in the domain of PBC+. Through domain adaptation, we then gener- alize the domain-specific lexicon to a general one. We show – across typologically diverse languages in PBC+ – good quality of seed and general-domain sentiment lexicons by intrin- sic and extrinsic and by automatic and human evaluation. We make freely available our code, seed sentiment lexicons for all 1593 languages and induced general-domain sentiment lexi- cons for 200 languages