MRS (Multilingual Reply Suggestion)
Introduced by Zhang et al. in A Dataset and Baselines for Multilingual Reply Suggestion
MRS, a multilingual reply suggestion dataset with ten languages. MRS can be used to compare two families of models: 1) retrieval models that select the reply from a fixed set and 2) generation models that produce the reply from scratch. Therefore, MRS complements existing cross-lingual generalization benchmarks that focus on classification and sequence labeling tasks.
Papers
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