| You can teach an old dog new tricks! on training knowledge graph embeddings D Ruffinelli, S Broscheit, R Gemulla ICLR, 2020 | 250 | 2020 |
| Investigating entity knowledge in BERT with simple neural end-to-end entity linking S Broscheit arXiv preprint arXiv:2003.05473, 2020 | 159 | 2020 |
| LibKGE-A knowledge graph embedding library for reproducible research S Broscheit, D Ruffinelli, A Kochsiek, P Betz, R Gemulla Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 97 | 2020 |
| BART: A multilingual anaphora resolution system S Broscheit, M Poesio, SP Ponzetto, KJ Rodriguez, L Romano, ... Proceedings of the 5th international workshop on semantic evaluation, 104-107, 2010 | 65 | 2010 |
| On evaluating embedding models for knowledge base completion Y Wang, D Ruffinelli, R Gemulla, S Broscheit, C Meilicke arXiv preprint arXiv:1810.07180, 2018 | 61 | 2018 |
| The web is your oyster-knowledge-intensive NLP against a very large web corpus A Piktus, F Petroni, V Karpukhin, D Okhonko, S Broscheit, G Izacard, ... arXiv preprint arXiv:2112.09924, 2021 | 50 | 2021 |
| OPIEC: an open information extraction corpus K Gashteovski, S Wanner, S Hertling, S Broscheit, R Gemulla arXiv preprint arXiv:1904.12324, 2019 | 45 | 2019 |
| A multigraph model for coreference resolution S Martschat, J Cai, S Broscheit, E Mújdricza-Maydt, M Strube Joint Conference on EMNLP and CoNLL-Shared Task, 100-106, 2012 | 38 | 2012 |
| Can we predict new facts with open knowledge graph embeddings? A benchmark for open link prediction S Broscheit, K Gashteovski, Y Wang, R Gemulla Association for Computational Linguistics, 2020 | 36 | 2020 |
| PRoFET: Predicting the Risk of Firms from Event Transcripts. CK Theil, S Broscheit, H Stuckenschmidt IJCAI, 5211-5217, 2019 | 25 | 2019 |
| Improving wikipedia verifiability with ai F Petroni, S Broscheit, A Piktus, P Lewis, G Izacard, L Hosseini, ... Nature Machine Intelligence 5 (10), 1142-1148, 2023 | 21 | 2023 |
| Unsupervised multi-view post-OCR error correction with language models H Gupta, L Del Corro, S Broscheit, J Hoffart, E Brenner Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 18 | 2021 |
| A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval J Pfeiffer, S Broscheit, R Gemulla, M Göschl Proceedings of the BioNLP 2018 workshop, 87-97, 2018 | 18 | 2018 |
| Extending BART to Provide a Coreference Resolution System for German. S Broscheit, SP Ponzetto, Y Versley, M Poesio LREC, 2010 | 12 | 2010 |
| Rapid Bootstrapping of Word Sense Disambiguation Resources for German. S Broscheit, A Frank, D Jehle, SP Ponzetto, D Rehl, A Summa, K Suttner, ... KONVENS, 19-27, 2010 | 11 | 2010 |
| Distributionally robust finetuning BERT for covariate drift in spoken language understanding S Broscheit, Q Do, J Gaspers Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 9 | 2022 |
| SUMMA at TAC Knowledge Base Population Task 2016. P Paikens, G Barzdins, A Mendes, DC Ferreira, S Broscheit, ... TAC, 2016 | 9 | 2016 |
| OpenIE for Slot Filling at TAC KBP 2017-System Description. S Broscheit, K Gashteovski, M Achenbach TAC, 2017 | 8 | 2017 |
| A relational tucker decomposition for multi-relational link prediction Y Wang, S Broscheit, R Gemulla arXiv preprint arXiv:1902.00898, 2019 | 4 | 2019 |
| Learning distributional token representations from visual features S Broscheit, R Gemulla, M Keuper Association for Computational Linguistics, 2018 | 2 | 2018 |
