Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision
Published: Jan 1, 2019
Abstract
Word embeddings learned in two languages can be mapped to a common space to produce Bilingual Word Embeddings (BWE). Unsupervised BWE methods learn such a mapping without any parallel data. However, these methods are mainly evaluated on tasks of word translation or word similarity. We show that these methods fail to capture the sentiment information and do not perform well enough on cross-lingual sentiment analysis. In this work, we propose...
Paper Details
Title
Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision
Published Date
Jan 1, 2019
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