Abstract
This paper describes a writing assistance system that helps students improve their academic writing by incorporating vocabulary that is more typical in the academic setting. Given an input text, the system suggests word substitutions according to an academic word list, and ranks them with a masked language model. Experimental results show that lexical formality analysis can improve the quality of the suggestions, in comparison to a baseline that relies on the masked language model only. Further, a user study demonstrate that students were able to use the system to improve text quality. © 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.
| Original language | English |
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| Title of host publication | Proceedings of the 28th International Conference on Computational Linguistics |
| Publisher | International Committee on Computational Linguistics |
| Pages | 2163–2168 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Dec 2020 |
| Event | The 28th International Conference on Computational Linguistics (COLING'2020) - Online, Barcelona, Spain Duration: 8 Dec 2020 → 13 Dec 2020 Conference number: 28 https://coling2020.org/ |
Conference
| Conference | The 28th International Conference on Computational Linguistics (COLING'2020) |
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| Abbreviated title | ICCL 2020 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 8/12/20 → 13/12/20 |
| Internet address |
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/