https://oldena.lpnu.ua/handle/ntb/45483| Title: | Data-to-text generation for domain-specific purposes |
| Authors: | Drobot, Tetiana |
| Affiliation: | Taras Shevchenko National University of Kyiv |
| Bibliographic description (Ukraine): | Drobot 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). |
| Bibliographic description (International): | Drobot 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). |
| Is part of: | Computational Linguistics and Intelligent Systems (2), 2019 |
| Journal/Collection: | Computational Linguistics and Intelligent Systems |
| Volume: | 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019 |
| Issue Date: | 18-Apr-2019 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Lviv |
| Keywords: | Natural Language Generation data-to-text generation template-based approach |
| Number of pages: | 2 |
| Page range: | 60-61 |
| Start page: | 60 |
| End page: | 61 |
| Abstract: | The 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/45483 |
| ISSN: | 2523-4013 |
| Copyright owner: | © 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. |
| URL for reference material: | https://urlzs.com/GUcj |
| References (International): | 1. 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) 2. Reiter, E., Dale, R.: Building natural language generation systems. Cambridge University Press, Cambridge, UK (2000) 3. Learning to tell tales: automatic story generation from Corpora, https://urlzs.com/GUcj. Last accessed 10 Apr 2019 |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2019 р. |
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