| Bootstrapping an ontology-based information extraction system A Maedche, G Neumann, S Staab Intelligent exploration of the web, 345-359, 2003 | 199 | 2003 |
| An information extraction core system for real world german text processing G Neumann, R Backofen, J Baur, M Becker, C Braun arXiv preprint cmp-lg/9706023, 1997 | 162 | 1997 |
| Arabic computational morphology: knowledge-based and empirical methods A Soudi, G Neumann, A Bosch Arabic computational morphology: Knowledge-based and Empirical Methods, 3-14, 2007 | 137 | 2007 |
| GETESS—searching the web exploiting german texts S Staab, C Braun, I Bruder, A Düsterhöft, A Heuer, M Klettke, G Neumann, ... Cooperative Information Agents III: Third International Workshop, CIA’99 …, 1999 | 98 | 1999 |
| The QALL-ME framework: A specifiable-domain multilingual question answering architecture Ó Ferrández, C Spurk, M Kouylekov, I Dornescu, S Ferrández, M Negri, ... Journal of web semantics 9 (2), 137-145, 2011 | 89 | 2011 |
| The excitement open platform for textual inferences B Magnini, R Zanoli, I Dagan, K Eichler, G Neumann, TG Noh, S Pado, ... Proceedings of 52nd annual meeting of the association for computational …, 2014 | 84 | 2014 |
| An integrated archictecture for shallow and deep processing B Crysmann, A Frank, B Kiefer, S Müller, G Neumann, J Piskorski, ... Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002 | 81 | 2002 |
| Recognizing textual entailment using sentence similarity based on dependency tree skeletons R Wang, G Neumann Proceedings of the ACL-PASCAL Workshop on Textual Entailment and …, 2007 | 80 | 2007 |
| MORPHIX: A Fast Realization of a Classification—Based Approach to Morphology W Finkler, G Neumann 4. Österreichische Artificial-Intelligence-Tagung: Wiener Workshop …, 1988 | 71 | 1988 |
| How robust are character-based word embeddings in tagging and MT against wrod scramlbing or randdm nouse? G Heigold, G Neumann, J van Genabith arXiv preprint arXiv:1704.04441, 2017 | 70 | 2017 |
| DISCO-an HPSG-based NLP system and its application for appointment scheduling H Uszkoreit, R Backofen, S Busemann, AK Diagne, EA Hinkelman, ... | 70 | 1994 |
| A shallow text processing core engine G Neumann, J Piskorski Computational Intelligence 18 (3), 451-476, 2002 | 69 | 2002 |
| MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT. S Amin, G Neumann, K Dunfield, A Vechkaeva, KA Chapman, MK Wixted CLEF (Working Notes), 1-15, 2019 | 66 | 2019 |
| A divide-and-conquer strategy for shallow parsing of German free texts G Neumann, C Braun, J Piskorski Sixth Applied Natural Language Processing Conference, 239-246, 2000 | 63 | 2000 |
| Recognizing textual entailment using a subsequence kernel method R Wang, G Neumann AAAI 7, 937-945, 2007 | 56 | 2007 |
| An extensive empirical evaluation of character-based morphological tagging for 14 languages G Heigold, G Neumann, J van Genabith Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 55 | 2017 |
| Experiments on robust NL question interpretation and multi-layered document annotation for a cross–language question/answering system G Neumann, B Sacaleanu Multilingual Information Access for Text, Speech and Images: 5th Workshop of …, 2005 | 54 | 2005 |
| An Intelligent Text Extraction and Navigation System. J Piskorski, G Neumann RIAO, 1015-1032, 2000 | 54 | 2000 |
| Unsupervised Relation Extraction From Web Documents. K Eichler, H Hemsen, G Neumann LREC 8, 1674-1679, 2008 | 53 | 2008 |
| Team DOMLIN: Exploiting evidence enhancement for the FEVER shared task D Stammbach, G Neumann Proceedings of the Second Workshop on Fact Extraction and VERification …, 2019 | 47 | 2019 |
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