Neural entity linking: A survey of models based on deep learning Ö Sevgili, A Shelmanov, M Arkhipov, A Panchenko, C Biemann Semantic Web 13 (3), 527-570, 2022 | 133 | 2022 |
Improving Neural Entity Disambiguation with Graph Embeddings Ö Sevgili, A Panchenko, C Biemann Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 41 | 2019 |
Gender prediction from Tweets with convolutional neural networks: Notebook for PAN at CLEF 2018 E Sezerer, O Polatbilek, Ö Sevgili, S Tekir CEUR Workshop Proceedings, 2018 | 22 | 2018 |
N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns Ö Sevgili, N Ghotbi, S Tekir Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 14 | 2017 |
Supervised Pun Detection and Location with Feature Engineering and Logistic Regression J Feng, Ö Sevgili, S Remus, E Ruppert, C Biemann Proceedings of the 5th SwissText & 16th KONVENS Joint Conference, 2020 | 3 | 2020 |
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages G Venkatesh, A Jana, S Remus, Ö Sevgili, G Srinivasaraghavan, ... Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 845-852, 2022 | 1 | 2022 |
Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses Ö Sevgili, S Remus, A Jana, A Panchenko, C Biemann International Conference on Analysis of Images, Social Networks and Texts …, 2023 | | 2023 |
A systematic evaluation of semantic representations in natural language processing Ö Sevgili Izmir Institute of Technology, 2018 | | 2018 |