most citedWeakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2020

Multi-Adversarial Learning for Cross-Lingual Word Embeddings

Haozhou Wang, James Henderson, Paola Merlo

Generative adversarial networks (GANs) have succeeded in inducing cross-lingual word embeddings -- maps of matching words across languages -- without supervision. Despite these suc…

cs.CL2019★ 1 cited

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Haozhou Wang, James Henderson, Paola Merlo

Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but a…