We introduce Discriminative BLEU (\u2206BLEU), 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 [\u22121, +1] to weight multi-reference BLEU. In tasks involving generation of conversational responses, \u2206BLEU correlates reasonably with human judgments and outperforms sentence-level and IBM BLEU in terms of both Spearman\u2019s \u03c1 and Kendall\u2019s \u03c4.<\/p>\n","protected":false},"excerpt":{"rendered":"
We introduce Discriminative BLEU (\u2206BLEU), 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 [\u22121, +1] to weight multi-reference BLEU. In tasks involving generation of conversational responses, \u2206BLEU correlates reasonably with human […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,13545],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168615","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"","msr_edition":"Proc. of 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