A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG

WS 2019 Guanyi ChenJin-Ge Yao

Automatic natural language generation systems need to use the contextually-appropriate verbs when describing different kinds of facts or events, which has triggered research interest on verb selection for data-to-text generation. In this paper, we discuss a few limitations of the current task settings and the evaluation metrics... (read more)

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