Papers by Ion Madrazo Azpiazu

1 papers
Hierarchical Mapping for Crosslingual Word Embedding Alignment (2020.tacl-1)

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Challenge: Existing strategies that map word embeddings into a crosslingual space are biased towards the choice of the pivot language.
Approach: They propose to map any two languages into a different middle space by learning mappings across languages in a hierarchical way.
Outcome: The proposed strategy significantly improves vocabulary induction scores in all existing benchmarks and in a new non-English–centered benchmark.

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