About me

I am a Ph.D. student at Internet Technology and Data Science Lab (IDLab) at the Ghent University. I am part of the Text-to-Knowledge (T2K) Group. My supervisors are Prof. Chris Develder and Prof. Thomas Demeester.

My research spans a variety of topics related to the use of Machine Learning in Natural Language Processing. My main research interest lies in controlled text generation. I am currently working on AI in education.

Research interests

  • NLP in Educational settings
  • Controlled Text generation
  • Transfer learning and low-resource languages
  • Psycholinguistics

Publications

Karel D’Oosterlinck, S.K. Bitew, Brandon Papineau, Christopher Potts, Thomas Demeester, Chris Develder. CAW-coref: Conjunction-Aware Word-level Coreference Resolution in Accepted at the 6th Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023) , pages xxx–xxx, Singapore. EMNLP. 2023 [ arXiv | code ].

S.K. Bitew, Johannes Deleu, Chris Develder, and Thomas Demeester. Distractor generation for multiple-choice questions with predictive prompting and large language models in Accepted at the 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education , pages xxx–xxx, Turin, Italy. ECML-PKDD. 2023 [ arXiv | code ].

S.K. Bitew, Johannes Deleu, A. Seza Dogruöz, Chris Develder, and Thomas Demeester. Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning in Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 598–609, Toronto, Canada. Association for Computational Linguistics. 2023 [ arXiv | code ].

Amir Hadifar, S.K. Bitew, Johannes Deleu, Veronique Hoste, Chris Develder, and Thomas Demeester. Diverse Content Selection for Educational Question Generation in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 123–133, Dubrovnik, Croatia. Association for Computational Linguistics. 2023 [ code ]

S.K. Bitew, Vincent Schelstraete, Klim Zaporojets, Kimberly Van Nieuwenhove, Reitske Meganck, Chris Develder. Personality Style Recognition via Machine Learning: Identifying Anaclitic and Introjective Personality Styles from Patients’ Speech UNDER REVIEW, 2023

S.K. Bitew, Amir hadifar, Lucas Sterckx, Johannes Deleu, Veronique Hoste, Chris Develder, and Thomas Demeester. Learning to Reuse Distractors to support Multiple Choice Question Generation in Education in IEEE Transactions for Learning Technologies, 2022 [ arXiv | Dataset ].

Amir Hadifar, S.K. Bitew, Johannes Deleu, Chris Develder, and Thomas Demeester. EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain in IEEE Access, 2022 [ arXiv | code].

S.K. Bitew, Johannes Deleu, Chris Develder, and Thomas Demeester. Lazy Low-Resource Coreference Resolution: a Study on Leveraging Black-Box Translation Tools in Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference, pages 57–62, Punta Cana, Dominican Republic. Association for Computational Linguistics. 2021.

S.K. Bitew, G. Bekoulis, J. Deleu, L. Sterckx, K. Zaporojets, T. Demeester and C. Develder, Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A, in Proc. 6th Ann. Workshop on Comput. Ling. Clin. Psychol. (CLPsych 2019) at NAACL-HLT 2019, Minneapolis, MN, USA, 6 Jun. 2019, pp. 158-161.

Education

Contact

semerekiros.bitew@ugent.be