Author:
Akdemir Arda,Shibuya Tetsuo,Güngör Tunga
Reference71 articles.
1. Akbik, A., Blythe, D., Vollgraf, R.: Contextual string embeddings for sequence labeling. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 1638–1649 (2018)
2. Akdemir, A., Güngör, T.: A detailed analysis and improvement of feature-based named entity recognition for Turkish. In: International Conference on Speech and Computer, pp. 9–19. Springer (2019)
3. Akdemir, A., Shibuya, T., Güngör, T.: Subword contextual embeddings for languages with rich morphology. In: Proceedings of the 2020 International Conference on Machine Learning and Applications (2020)
4. Arkhipov, M., Trofimova, M., Kuratov, Y., Sorokin, A.: Tuning multilingual transformers for language-specific named entity recognition. In: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, pp. 89–93 (2019)
5. Aydın, C.R., Güngör, T.: Sentiment analysis in Turkish: supervised, semi-supervised, and unsupervised techniques. Nat. Lang. Eng. 1–29