University of Hamburg - to research, to teach, to educate and form, to homepage
Language Technology Group (LT)
Department of InformaticsLanguage Technology Group (LT)

Photo: alt left

Language Technology

Özge Sevgili Ergüven

Name: Özge Sevgili Ergüven
Position: PhD Student
Email: oezge.sevgili.ergueven@studium.uni-hamburg.de
Office: F-407
Address:

Informatikum

Vogt-Kölln-Straße 30

22527 Hamburg

I am a Ph.D. Student at the language technology group, under the supervision of Prof. Chris Biemann. I am a scholarship holder supported by DAAD. I am currently working on Entity Linking. My main research areas are representation learning, entity linking and disambiguation, and word sense disambiguation. I am also interested in pun detection/interpretation.

Publications

  • Özge Sevgili, Irina Nikishina, Seid Muhie Yimam, Martin Semmann, and Chris Biemann. 2024: UHH at AVeriTeC: RAG for Fact-Checking with Real-World Claims. In Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER), Miami, Florida, USA. 
  • Günzler, R., Sevgili, Ö., Remus, S., Biemann, C., Nikishina N. (2024): Sövereign at The Perspective Argument Retrieval Shared Task 2024: Using LLMs with Argument Mining. Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), Bangkok, Thailand.
  • Sevgili, Ö., Remus, S., Jana, A., Panchenko, A., Biemann, C. (2023): Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. In Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST), pp. 1--15, Yerevan, Armenia.
  • Venkatesh, G., Jana, A., Remus, S., Sevgili, Ö., Srinivasaraghavan, G., and Biemann, C. (2022): Using Distributional Thesaurus To Enhance Transformer-based Contextualized Representations for Low Resource Languages, In Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing (SAC). (pdf)
  • Sevgili, Ö., Shelmanov, A., Arkhipov, M., Panchenko, A., Biemann, C. (2022): Neural entity linking: A survey of models based on deep learning, Semantic Web Journal, vol. 13, no. 3, pp. 527-570, IOS Press (2022), doi:10.3233/SW-222986. (link)
  • Feng, J., Sevgili, Ö., Remus, S., Ruppert, E., Biemann, C. (2020): Supervised Pun Detection and Location with Feature Engineering and Logistic Regression. Proceedings of the 5th SwissText & 16th KONVENS Joint Conference 2020, Zurich, Switzerland. (pdf)
  • Sevgili, Ö., Panchenko, A., Biemann, C. (2019): Improving Neural Entity Disambiguation with Graph Embeddings. Proceedings of the ACL 2019 Student Research Workshop, Florence, Italy. (pdf)
  • Sezerer, E., Polatbilek, O., Sevgili, Ö., Tekir, S., (2018): Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018. Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018), Avignon, France.
  • Sevgili, Ö., Ghotbi, N., Tekir, S., (2017): N-hance at semeval-2017 task 7: A computational approach using word association for puns. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada.
Özge Sevgili Ergüven
PhD Student
LT Research Group
Vogt-Koelln-Straße 30, Room F-407
22547 Hamburg