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deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets (1506.06863v2)
Published 23 Jun 2015 in cs.CL
Abstract: We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrinsic evaluation of generated text in tasks that admit a diverse range of possible outputs. Reference strings are scored for quality by human raters on a scale of [-1, +1] to weight multi-reference BLEU. In tasks involving generation of conversational responses, deltaBLEU correlates reasonably with human judgments and outperforms sentence-level and IBM BLEU in terms of both Spearman's rho and Kendall's tau.