Papers with L2-distance loss

1 papers
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization (D18-1)

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Challenge: Semantic specialization is a process of fine-tuning pre-trained distributional word vectors using external lexical knowledge to accentuate a particular semantic relation in the specialized vector space.
Approach: They propose a method for specializing distributional word vectors using external lexical knowledge.
Outcome: The proposed method improves on word similarity, dialog state tracking, and lexical simplification across three languages and on three tasks.

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