Cross-Lingual Transfer
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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Finally, we introduce a new test set of aligned sentences in 122 languages based on the Tatoeba corpus, and show that our sentence embeddings obtain strong results in multilingual similarity search even for low-resource languages.
CROSS-LINGUAL BITEXT MINING CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL NATURAL LANGUAGE INFERENCE CROSS-LINGUAL TRANSFER DOCUMENT CLASSIFICATION JOINT MULTILINGUAL SENTENCE REPRESENTATIONS PARALLEL CORPUS MINING
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
EMNLP 2018 • cambridgeltl/adversarial-postspec
Our adversarial post-specialization method propagates the external lexical knowledge to the full distributional space.
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
COLING 2018 • UKPLab/coling2018-xling_argument_mining
Argumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually.
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
• uclanlp/CrossLingualDepParser
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Different languages might have different word orders.
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
We show that the notions of concreteness and imageability are highly predictable both within and across languages, with a moderate loss of up to 20% in correlation when predicting across languages.