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        <title>KB-NLG: From Knowledge Base to Natural Language Generation</title>
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        <namePart type="given">Wen</namePart>
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        <namePart type="given">Minghui</namePart>
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    <name type="personal">
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            <title>Proceedings of the 2019 Workshop on Widening NLP</title>
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    <abstract>We perform the natural language generation (NLG) task by mapping sets of Resource Description Framework (RDF) triples into text. First we investigate the impact of increasing the number of entity types in delexicalisaiton on the generation quality. Second we conduct different experiments to evaluate two widely applied language generation systems, encoder-decoder with attention and the Transformer model on a large benchmark dataset. We evaluate different models on automatic metrics, as well as the training time. To our knowledge, we are the first to apply Transformer model to this task.</abstract>
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%0 Conference Proceedings
%T KB-NLG: From Knowledge Base to Natural Language Generation
%A Cui, Wen
%A Zhou, Minghui
%A Zhao, Rongwen
%A Norouzi, Narges
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F cui-etal-2019-kb
%X We perform the natural language generation (NLG) task by mapping sets of Resource Description Framework (RDF) triples into text. First we investigate the impact of increasing the number of entity types in delexicalisaiton on the generation quality. Second we conduct different experiments to evaluate two widely applied language generation systems, encoder-decoder with attention and the Transformer model on a large benchmark dataset. We evaluate different models on automatic metrics, as well as the training time. To our knowledge, we are the first to apply Transformer model to this task.
%U https://aclanthology.org/W19-3626
%P 80-82

Markdown (Informal)

[KB-NLG: From Knowledge Base to Natural Language Generation](https://aclanthology.org/W19-3626) (Cui et al., WiNLP 2019)

• KB-NLG: From Knowledge Base to Natural Language Generation (Cui et al., WiNLP 2019)

ACL

• Wen Cui, Minghui Zhou, Rongwen Zhao, and Narges Norouzi. 2019. KB-NLG: From Knowledge Base to Natural Language Generation. In Proceedings of the 2019 Workshop on Widening NLP, pages 80–82, Florence, Italy. Association for Computational Linguistics.