Onur Güngör

About Onur Güngör

Onur Güngör, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Bogaziçi Üniversitesi, specializes in the field of Natural Language Processing, Computational Linguistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation

TULAP-An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources

Enhancements to the BOUN treebank reflecting the agglutinative nature of Turkish

Generating Synthetic Image Segmentation Dataset Using Realistic City Backgrounds

Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework

Word-wise explanation method for deep learning models using character N-gram input

NEURAL NAMED ENTITY RECOGNITION FOR MORPHOLOGICALLY RICH LANGUAGES

The Role of Contextual word embeddings in correcting the ‘de/da’clitic errors in Turkish

Onur Güngör Information

University

Position

___

Citations(all)

210

Citations(since 2020)

171

Cited By

99

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Onur Güngör Skills & Research Interests

Natural Language Processing

Computational Linguistics

Top articles of Onur Güngör

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation

arXiv preprint arXiv:2401.14373

2024/1/25

Gökçe Uludoğan
Gökçe Uludoğan

H-Index: 1

Onur Güngör
Onur Güngör

H-Index: 5

TULAP-An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources

2023/5

Merve Gürbüz
Merve Gürbüz

H-Index: 2

Onur Güngör
Onur Güngör

H-Index: 5

Enhancements to the BOUN treebank reflecting the agglutinative nature of Turkish

arXiv preprint arXiv:2207.11782

2022/7/24

Generating Synthetic Image Segmentation Dataset Using Realistic City Backgrounds

2022/5/15

İrem İşlek
İrem İşlek

H-Index: 2

Onur Güngör
Onur Güngör

H-Index: 5

Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework

2021/11

Word-wise explanation method for deep learning models using character N-gram input

2021/6/9

İrem İşlek
İrem İşlek

H-Index: 2

Onur Güngör
Onur Güngör

H-Index: 5

NEURAL NAMED ENTITY RECOGNITION FOR MORPHOLOGICALLY RICH LANGUAGES

2021

Onur Güngör
Onur Güngör

H-Index: 5

The Role of Contextual word embeddings in correcting the ‘de/da’clitic errors in Turkish

2020/10/5

EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

Plos one

2020/12/30

Onur Güngör
Onur Güngör

H-Index: 5

Suzan Uskudarli
Suzan Uskudarli

H-Index: 9

See List of Professors in Onur Güngör University(Bogaziçi Üniversitesi)

Co-Authors

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