Enriching bert with knowledge graph embeddings for document classification M Ostendorff, P Bourgonje, M Berger, J Moreno-Schneider, G Rehm, ... arXiv preprint arXiv:1909.08402, 2019 | 120 | 2019 |
Neighborhood contrastive learning for scientific document representations with citation embeddings M Ostendorff, N Rethmeier, I Augenstein, B Gipp, G Rehm arXiv preprint arXiv:2202.06671, 2022 | 70 | 2022 |
HiStruct+: Improving extractive text summarization with hierarchical structure information Q Ruan, M Ostendorff, G Rehm arXiv preprint arXiv:2203.09629, 2022 | 60 | 2022 |
Towards an open platform for legal information M Ostendorff, T Blume, S Ostendorff Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020 | 48 | 2020 |
Evaluating link-based recommendations for Wikipedia M Schwarzer, M Schubotz, N Meuschke, C Breitinger, V Markl, B Gipp Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries …, 2016 | 48 | 2016 |
Aspect-based document similarity for research papers M Ostendorff, T Ruas, T Blume, B Gipp, G Rehm arXiv preprint arXiv:2010.06395, 2020 | 34 | 2020 |
QURATOR: innovative technologies for content and data curation G Rehm, P Bourgonje, S Hegele, F Kintzel, JM Schneider, M Ostendorff, ... arXiv preprint arXiv:2004.12195, 2020 | 34 | 2020 |
Pairwise multi-class document classification for semantic relations between wikipedia articles M Ostendorff, T Ruas, M Schubotz, G Rehm, B Gipp Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020 | 29 | 2020 |
Fine-grained classification of political bias in German news: A data set and initial experiments D Aksenov, P Bourgonje, K Zaczynska, M Ostendorff, JM Schneider, ... Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), 121-131, 2021 | 26 | 2021 |
Evaluating document representations for content-based legal literature recommendations M Ostendorff, E Ash, T Ruas, B Gipp, J Moreno-Schneider, G Rehm Proceedings of the eighteenth international conference on artificial …, 2021 | 25 | 2021 |
Tokenizer Choice For LLM Training: Negligible or Crucial? M Ali, M Fromm, K Thellmann, R Rutmann, M Lübbering, J Leveling, ... arXiv preprint arXiv:2310.08754, 2023 | 21 | 2023 |
Efficient language model training through cross-lingual and progressive transfer learning M Ostendorff, G Rehm arXiv preprint arXiv:2301.09626, 2023 | 17 | 2023 |
Contextual document similarity for content-based literature recommender systems M Ostendorff arXiv preprint arXiv:2008.00202, 2020 | 16 | 2020 |
Specialized document embeddings for aspect-based similarity of research papers M Ostendorff, T Blume, T Ruas, B Gipp, G Rehm Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-12, 2022 | 11 | 2022 |
Named entities in medical case reports: corpus and experiments S Schulz, J Ševa, S Rodriguez, M Ostendorff, G Rehm arXiv preprint arXiv:2003.13032, 2020 | 11 | 2020 |
Arqmath lab: An incubator for semantic formula search in zbmath open? P Scharpf, M Schubotz, A Greiner-Petter, M Ostendorff, O Teschke, B Gipp arXiv preprint arXiv:2012.02413, 2020 | 10 | 2020 |
Citolytics: A link-based recommender system for wikipedia M Schwarzer, C Breitinger, M Schubotz, N Meuschke, B Gipp Proceedings of the Eleventh ACM Conference on Recommender Systems, 360-361, 2017 | 10 | 2017 |
An Interactive e-Government Question Answering System. M Schwarzer, J Düver, D Ploch, A Lommatzsch LWDA, 74-82, 2016 | 9 | 2016 |
Towards discourse parsing-inspired semantic storytelling G Rehm, K Zaczynska, J Moreno-Schneider, M Ostendorff, P Bourgonje, ... arXiv preprint arXiv:2004.12190, 2020 | 8 | 2020 |
Neighborhood contrastive learning for scientific document representations with citation embeddings. arXiv M Ostendorff, N Rethmeier, I Augenstein arXiv preprint arXiv:2202.06671, 2022 | 6 | 2022 |