Document detail
ID
oai:arXiv.org:2404.18880
Topic
Computer Science - Computation and...Author
Saini, Aman Chernodub, Artem Raheja, Vipul Kulkarni, VivekCategory
Computer Science
Year
2024
listing date
5/1/2024
Keywords
ukrainian editing spivavtorAbstract
We introduce Spivavtor, a dataset, and instruction-tuned models for text editing focused on the Ukrainian language.
Spivavtor is the Ukrainian-focused adaptation of the English-only CoEdIT model.
Similar to CoEdIT, Spivavtor performs text editing tasks by following instructions in Ukrainian.
This paper describes the details of the Spivavtor-Instruct dataset and Spivavtor models.
We evaluate Spivavtor on a variety of text editing tasks in Ukrainian, such as Grammatical Error Correction (GEC), Text Simplification, Coherence, and Paraphrasing, and demonstrate its superior performance on all of them.
We publicly release our best-performing models and data as resources to the community to advance further research in this space.
;Comment: Accepted to UNLP Workshop 2024
Saini, Aman,Chernodub, Artem,Raheja, Vipul,Kulkarni, Vivek, 2024, Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
