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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Recent Advances in Natural Language Generation: A Survey and Classification of the Empirical Literature

Perera, R; Nand, P
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http://hdl.handle.net/10292/10691
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Abstract
Natural Language Generation (NLG) is defined as the systematic approach for producing human understandable natural language text based on non-textual data or from meaning representations. This is a significant area which empowers human-computer interaction. It has also given rise to a variety of theoretical as well as empirical approaches. This paper intends to provide a detailed overview and a classification of the state-of-the-art approaches in Natural Language Generation. The paper explores NLG architectures and tasks classed under document planning, micro-planning and surface realization modules. Additionally, this paper also identifies the gaps existing in the NLG research which require further work in order to make NLG a widely usable technology.
Keywords
Natural Language Generation; Natural Language Processing; Lexicalization
Date
2017
Source
Computing and Informatics, 36(1), 1-32.
Item Type
Journal Article
Publisher
Slovak Academy of Sciences
Publisher's Version
http://www.cai.sk/ojs/index.php/cai/article/viewArticle/2017_1_1
Rights Statement
The contents of this journal will be available in an open access format 12 month(s) after an issue is published.

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