Papers by Onur Gungor
TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation (2024.findings-acl)
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| Challenge: | Recent advances in natural language processing have favored well-resourced English-centric models, resulting in a significant gap with low-resource languages. |
| Approach: | They propose a language model for the low-resource language Turkish that is capable of both natural language understanding and generation tasks. |
| Outcome: | The proposed model outperforms multilingual models in understanding and generation tasks and competes with monolingual models for understanding tasks. |
Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models (2024.lrec-main)
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Furkan Akkurt, Onur Gungor, Büşra Marşan, Tunga Gungor, Balkiz Ozturk Basaran, Arzucan Özgür, Susan Uskudarli
| Challenge: | Pretrained language models and large language models are increasingly used to assist in a variety of natural language processing tasks. |
| Approach: | They propose to use pretrained language models and large language models to evaluate their quality in natural language processing. |
| Outcome: | The proposed annotation scheme (2.11) yields sentences with higher success rate than the previous one. |
TULAP - An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources (2023.eacl-demo)
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Susan Uskudarli, Muhammet Şen, Furkan Akkurt, Merve Gürbüz, Onur Gungor, Arzucan Özgür, Tunga Güngör
| Challenge: | a growing interest in the field of natural language processing is resulting in applications solving NLP tasks. |
| Approach: | They propose to create an open-source platform to share Turkish NLP resources . they propose to use the platform to publish open-sourced Turkish Nlp resources based on a research lab's datasets and tools. |
| Outcome: | The proposed platform is easy-to-use and publishes open-source Turkish NLP resources. |