bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

2Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

We present bgGLUE (Bulgarian General Language Understanding Evaluation), a benchmark for evaluating language models on Natural Language Understanding (NLU) tasks in Bulgarian. Our benchmark includes NLU tasks targeting a variety of NLP problems (e.g., natural language inference, fact-checking, named entity recognition, sentiment analysis, question answering, etc.) and machine learning tasks (sequence labeling, document-level classification, and regression). We run the first systematic evaluation of pre-trained language models for Bulgarian, comparing and contrasting results across the nine tasks in the benchmark. The evaluation results show strong performance on sequence labeling tasks, but there is a lot of room for improvement for tasks that require more complex reasoning. We make bgGLUE publicly available together with the fine-tuning and the evaluation code, as well as a public leaderboard at https://bgglue.github.io, and we hope that it will enable further advancements in developing NLU models for Bulgarian.

Cite

CITATION STYLE

APA

Hardalov, M., Atanasova, P., Mihaylov, T., Angelova, G., Simov, K., Osenova, P., … Radev, D. (2023). bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1, pp. 8733–8759). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-long.487

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free