Automatic Corpus Extension for Data-driven Natural Language Generation

LREC 2016 Elena ManishinaBassam JabaianSt{\'e}phane HuetFabrice Lef{\`e}vre

As data-driven approaches started to make their way into the Natural Language Generation (NLG) domain, the need for automation of corpus building and extension became apparent. Corpus creation and extension in data-driven NLG domain traditionally involved manual paraphrasing performed by either a group of experts or with resort to crowd-sourcing... (read more)

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