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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/45483
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dc.contributor.authorDrobot, Tetiana
dc.date.accessioned2019-10-31T13:21:00Z-
dc.date.available2019-10-31T13:21:00Z-
dc.date.created2019-04-18
dc.date.issued2019-04-18
dc.identifier.citationDrobot T. Data-to-text generation for domain-specific purposes / Tetiana Drobot // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 60–61. — (Student section).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/45483-
dc.description.abstractThe first commercial implementation of Natural Language Generation (NLG) system dates back to the turn of the XXI century. Since then two main methods of NLG – text-to-text generation and data-to-text generation – have grown more complex in order to solve new business challenges. This research project focuses on the full cycle of template-based generation of hotel descriptions from linguistic and non-linguistic input: starting with data scraping and preparation up to rendering the whole text. Also, several improvements to the template- based approach were suggested.
dc.format.extent60-61
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational Linguistics and Intelligent Systems (2), 2019
dc.relation.urihttps://urlzs.com/GUcj
dc.subjectNatural Language Generation
dc.subjectdata-to-text generation
dc.subjecttemplate-based approach
dc.titleData-to-text generation for domain-specific purposes
dc.typeArticle
dc.rights.holder© 2019 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
dc.contributor.affiliationTaras Shevchenko National University of Kyiv
dc.format.pages2
dc.identifier.citationenDrobot T. Data-to-text generation for domain-specific purposes / Tetiana Drobot // Computational Linguistics and Intelligent Systems. — Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 60–61. — (Student section).
dc.relation.referencesen1. Gatt, A., Krahmer, E.: Survey of the state of the art in natural language generation: Core tasks, applications and evaluation. Journal of Artificial Intelligence Research, 61, pp. 65–170 (2018)
dc.relation.referencesen2. Reiter, E., Dale, R.: Building natural language generation systems. Cambridge University Press, Cambridge, UK (2000)
dc.relation.referencesen3. Learning to tell tales: automatic story generation from Corpora, https://urlzs.com/GUcj. Last accessed 10 Apr 2019
dc.citation.journalTitleComputational Linguistics and Intelligent Systems
dc.citation.volume2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019
dc.citation.spage60
dc.citation.epage61
dc.coverage.placenameLviv
Appears in Collections:Computational linguistics and intelligent systems. – 2019 р.

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