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Recent work in cross-lingual contextual word embedding learning cannot handle multi-sense words well.
Semeval-2010 task 3: Cross-lingual word sense disambiguation
\NAT@biblabelnum · 2009
Earlier work this paper cites.
Efficient estimation of word representations in vector space
\NAT@biblabelnum · 2013
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Exploiting similarities among languages for machine translation
\NAT@biblabelnum · 2013
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Normalized word embedding and orthogonal transform for bilingual word translation
\NAT@biblabelnum · 2015
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Word translation without parallel data
\NAT@biblabelnum · 2017
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A survey of cross-lingual word embedding models
\NAT@biblabelnum · 2017
Cited alongside, same era.
Deep Contextualized Word Representations
\NAT@biblabelnum · 2018
Cited alongside, same era.
Speaker diarization with LSTM
\NAT@biblabelnum · 2018
Cited alongside, same era.
Context-Aware Cross-Lingual Mapping
\NAT@biblabelnum · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
\NAT@biblabelnum · 2019
Closest in time.
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
\NAT@biblabelnum · 2019
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
\NAT@biblabelnum · 2019
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Bag of Tricks for Efficient Text Classification
\NAT@biblabelnum · 2068
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