Nanopore basecalling from a perspective of instance segmentation Y Zhang, A Akdemir, G Tremmel, S Imoto, S Miyano, T Shibuya, ... BMC bioinformatics 21, 1-9, 2020 | 39 | 2020 |
Overview of clef 2019 lab protestnews: Extracting protests from news in a cross-context setting A Hürriyetoğlu, E Yörük, D Yüret, Ç Yoltar, B Gürel, F Duruşan, O Mutlu, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 36 | 2019 |
Joint learning of named entity recognition and dependency parsing using separate datasets A Akdemir, T Güngör Computación y Sistemas 23 (3), 841-850, 2019 | 8 | 2019 |
Transfer Learning for Biomedical Question Answering A Akdemir, T Shibuya Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum 2696, 2020 | 7 | 2020 |
Research on task discovery for transfer learning in deep neural networks A Akdemir Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 7 | 2020 |
Towards generalizable place name recognition systems: analysis and enhancement of NER systems on English News from India A Akdemir, A Hürriyetoğlu, E Yörük, B Gürel, Ç Yoltar, D Yüret Proceedings of the 12th Workshop on Geographic Information Retrieval, 1-10, 2018 | 7 | 2018 |
Subword contextual embeddings for languages with rich morphology A Akdemir, T Shibuya, T Güngör 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 6 | 2020 |
Analyzing the effect of multi-task learning for biomedical named entity recognition A Akdemir, T Shibuya arXiv preprint arXiv:2011.00425, 2020 | 6 | 2020 |
A detailed analysis and improvement of feature-based named entity recognition for Turkish A Akdemir, T Güngör Speech and Computer: 21st International Conference, SPECOM 2019, Istanbul …, 2019 | 5 | 2019 |
Hierarchical multi task learning with subword contextual embeddings for languages with rich morphology A Akdemir, T Shibuya, T Güngör arXiv preprint arXiv:2004.12247, 2020 | 3 | 2020 |
Tuning of Chess Evaluation Function by Using Genetic Algorithms A AKDEMIR Bogaziçi University, 2017 | 2 | 2017 |
DPRK-BERT: the supreme language model A Akdemir, Y Jeon arXiv preprint arXiv:2112.00567, 2021 | 1 | 2021 |
Coordinate exhaustive search hybridization enhancing evolutionary optimization algorithms OK Erol, I Eksin, A Akdemir, A Aydınoglu Journal of AI and Data Mining 8 (3), 439-449, 2020 | 1 | 2020 |
Named entity recognition in turkish using deep learning methods and joint learning A Akdemir PhD Thesis, Bogaziçi University, 2018 | 1 | 2018 |
Developing Language Resources and NLP Tools for the North Korean Language A Akdemir, Y Jeon, T Shibuya Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | | 2022 |
A Comprehensive Analysis of Subword Contextual Embeddings for Languages with Rich Morphology A Akdemir, T Shibuya, T Güngör Deep Learning Applications, Volume 3, 31-72, 2022 | | 2022 |
UDON: Unsupervised Data SelectiON for Biomedical Entity Recognition A Akdemir, T Shibuya 2021 4th International Conference on Computing and Big Data, 1-7, 2021 | | 2021 |
Additional file 2 of Nanopore basecalling from a perspective of instance segmentation YZ Zhang, A Akdemir, G Tremmel, S Imoto, S Miyano, T Shibuya, ... (No Title), 2020 | | 2020 |
Named entity recognition in Turkish using deep learning models and joint learning A Akdemir Thesis (MS)-Bogazici University. Institute for Graduate Studies in Science …, 2018 | | 2018 |