Joint optimization of bilingual embeddings for semantics and sentiment yields better targeted cross-lingual sentiment performance than prior projection baselines, with source-language similarity mattering more than monolingual data volume.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study
Joint optimization of bilingual embeddings for semantics and sentiment yields better targeted cross-lingual sentiment performance than prior projection baselines, with source-language similarity mattering more than monolingual data volume.