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
Item Type: | Conference |
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EU Funded Grant Agreement Number: | 740516 |
EU Projects: | Horizon 2020 > ERC Grants > ERC Advanced Grant > ERC Grant 740516: NonSequeToR - Non-sequence models for tokenization replacement |
Research Centers: | Center for Information and Language Processing (CIS) |
Subjects: | 000 Computer science, information and general works > 000 Computer science, knowledge, and systems 400 Language > 410 Linguistics |
URN: | urn:nbn:de:bvb:19-epub-72191-0 |
ISBN: | 978-1-950737-48-2 |
Place of Publication: | Stroudsburg, USA |
Language: | English |
Item ID: | 72191 |
Date Deposited: | 20. May 2020, 09:35 |
Last Modified: | 04. Nov 2020, 13:53 |