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Journal Articles
- 2022
[j1]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural entity linking: A survey of models based on deep learning. Semantic Web 13(3): 527-570 (2022)
Conference and Workshop Papers
- 2023
- [c6]Özge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko, Chris Biemann:
Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. AIST 2023: 126-140 - 2022
- [c5]Gopalakrishnan Venkatesh, Abhik Jana, Steffen Remus, Özge Sevgili, Gopalakrishnan Srinivasaraghavan, Chris Biemann:
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages. SAC 2022: 845-852 - 2020
- [c4]Jingyuan Feng, Özge Sevgili, Steffen Remus, Eugen Ruppert, Chris Biemann:
Supervised Pun Detection and Location with Feature Engineering and Logistic Regression. SwissText/KONVENS 2020 - 2019
- [c3]Özge Sevgili, Alexander Panchenko, Chris Biemann:
Improving Neural Entity Disambiguation with Graph Embeddings. ACL (2) 2019: 315-322 - 2018
- [c2]Erhan Sezerer, Ozan Polatbilek, Özge Sevgili, Selma Tekir:
Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - 2017
- [c1]Özge Sevgili, Nima Ghotbi, Selma Tekir:
N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns. SemEval@ACL 2017: 436-439
Informal and Other Publications
- 2024
- [i2]Mahei Manhai Li, Irina Nikishina, Özge Sevgili, Martin Semmann:
Wiping out the limitations of Large Language Models - A Taxonomy for Retrieval Augmented Generation. CoRR abs/2408.02854 (2024) - 2020
- [i1]Özge Sevgili, Artem Shelmanov
, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR abs/2006.00575 (2020)
Coauthor Index
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