FLAIR: An easy-to-use framework for state-of-the-art NLP A Akbik, T Bergmann, D Blythe, K Rasul, S Schweter, R Vollgraf Proceedings of the 2019 conference of the North American chapter of the …, 2019 | 1130 | 2019 |
Pooled contextualized embeddings for named entity recognition A Akbik, T Bergmann, R Vollgraf Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 351 | 2019 |
Diet: Lightweight language understanding for dialogue systems T Bunk arXiv preprint ArXiv:2004.09936, 2020 | 202 | 2020 |
Data profiling with metanome T Papenbrock, T Bergmann, M Finke, J Zwiener, F Naumann Proceedings of the VLDB Endowment 8 (12), 1860-1863, 2015 | 145 | 2015 |
Diet: Lightweight language understanding for dialogue systems. arXiv 2020 T Bunk, D Varshneya, V Vlasov, A Nichol arXiv preprint arXiv:2004.09936, 0 | 17 | |
Diet: lightweight language understanding for dialogue systems (2020) T Bunk, D Varshneya, V Vlasov, A Nichol arXiv preprint arXiv:2004.09936, 2004 | 15 | 2004 |
DIET: Lightweight Language Understanding for Dialogue Systems, 2020, doi: 10.48550 T Bunk, D Varshneya, V Vlasov, A Nichol ARXIV, 2004 | 8 | 2004 |
Linked Soccer Data. T Bergmann, S Bunk, J Eschrig, C Hentschel, M Knuth, H Sack, R Schüler I-SEMANTICS (Posters & Demos), 25-29, 2013 | 4 | 2013 |
Generating a linked soccer dataset T Bergmann, S Bunk, J Eschrig, C Hentschel, M Knuth, H Sack, R Schüler Proceedings of the 9th International Conference on Semantic Systems, 146-149, 2013 | 3 | 2013 |
Multilingual sequence labeling with one model A Akbik, T Bergmann, R Vollgraf NLDL, 2019 | 2 | 2019 |