Instance-based Transfer Learning for Multilingual Deep Retrieval

8 Nov 2019Andrew O. ArnoldWilliam W. Cohen

Perhaps the simplest type of multilingual transfer learning is instance-based transfer learning, in which data from the target language and the auxiliary languages are pooled, and a single model is learned from the pooled data. It is not immediately obvious when instance-based transfer learning will improve performance in this multilingual setting: for instance, a plausible conjecture is this kind of transfer learning would help only if the auxiliary languages were very similar to the target... (read more)

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