| A Study on Entity Linking Across Domains: Which Data is Best for Fine-Tuning? H Soliman, H Adel, MH Gad-Elrab, D Milchevski, J Strötgen Proceedings of the 7th Workshop on Representation Learning for NLP, 184-190, 2022 | 2 | 2022 |
| Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants H Soliman, M Kravcik, N Basvoju, P Jaehnichen Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation …, 2024 | 1 | 2024 |
| Scalable Mentoring Support with a Large Language Model Chatbot H Soliman, M Kravcik, AT Neumann, Y Yin, N Pengel, M Haag Proceedings of EC-TEL 2024. Technology Enhanced Learning for Inclusive and …, 2024 | | 2024 |
| Generative KI zur Lernenbegleitung in den Bildungswissenschaften: Implementierung eines LLM-basierten Chatbots im Lehramtsstudium H Soliman, M Kravcik, AT Neumann, Y Yin, N Pengel, M Haag, ... Proceedings of DELFI 2024, 10.18420/delfi2024_15, 2024 | | 2024 |
| Device and method for training a model for linking a mention to an entity across knowledge bases H Soliman, D Milchevski, H Adel-Vu, M Gad-Elrab, J Stroetgen US Patent App. 18/178,373, 2023 | | 2023 |
| Cross-Domain Neural Entity Linking H Soliman arXiv preprint arXiv:2210.15616, 2022 | | 2022 |
| Effective General-Domain Data Inclusion for the Machine Translation Task by Vanilla Transformers H Soliman arXiv preprint arXiv:2209.14073, 2021 | | 2021 |
| Offensive Language Detection on Twitter N Chilwant, STA Rizvi, H Soliman arXiv preprint arXiv:2209.14091, 2019 | | 2019 |
| Data Augmentation using Feature Generation for Volumetric Medical Images K Mehra, H Soliman, SR Sahoo arXiv preprint arXiv:2209.14097, 2019 | | 2019 |
Miloš KravčíkDFKI GmbH在 dfki.de 的电子邮件经过验证
