Data-to-text generation for domain-specific purposes

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2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Drobot_T-Data_to_text_generation_for_60-61.pdf (301.65 KB)
2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Drobot_T-Data_to_text_generation_for_60-61__COVER.png (302.15 KB)

Date

2019-04-18

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Lviv Politechnic Publishing House

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.

Description

Keywords

Natural Language Generation, data-to-text generation, template-based approach

Citation

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).

URI

https://ena.lpnu.ua/handle/ntb/45483

Collections

Computational linguistics and intelligent systems. – 2019 р.