Papers by Yida Xin

1 papers
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations (2021.findings-acl)

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Challenge: Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a Knowledge Base (KB).
Approach: They propose a system that uses two GANs to learn a one-to-one mapping between concepts and retrofitted counterparts.
Outcome: The proposed system performs well on word-similarity benchmarks and a sentence simplification task.

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