| Analysis of the impact of negative sampling on link prediction in knowledge graphs B Kotnis, V Nastase arXiv preprint arXiv:1708.06816, 2017 | 108 | 2017 |
| Attending to future tokens for bidirectional sequence generation C Lawrence, B Kotnis, M Niepert arXiv preprint arXiv:1908.05915, 2019 | 43 | 2019 |
| Answering complex queries in knowledge graphs with bidirectional sequence encoders B Kotnis, C Lawrence, M Niepert Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4968-4977, 2021 | 41 | 2021 |
| Stochastic analysis of epidemics on adaptive time varying networks B Kotnis, J Kuri Physical Review E 87 (6), 062810, 2013 | 33 | 2013 |
| On aligning OpenIE extractions with knowledge bases: A case study K Gashteovski, R Gemulla, B Kotnis, S Hertling, C Meilicke Association for Computational Linguistics (ACL), 2020 | 30 | 2020 |
| Learning numerical attributes in knowledge bases B Kotnis, A García-Durán Automated Knowledge Base Construction (AKBC), 2018 | 16 | 2018 |
| MILIE: Modular & iterative multilingual open information extraction B Kotnis, K Gashteovski, DO Rubio, V Rodriguez-Tembras, A Shaker, ... arXiv preprint arXiv:2110.08144, 2021 | 15 | 2021 |
| BenchIE: A framework for multi-faceted fact-based open information extraction evaluation K Gashteovski, M Yu, B Kotnis, C Lawrence, M Niepert, G Glavaš arXiv preprint arXiv:2109.06850, 2021 | 14 | 2021 |
| Dynamics of history-dependent epidemics in temporal networks A Sunny, B Kotnis, J Kuri Physical Review E 92 (2), 022811, 2015 | 14 | 2015 |
| Incentivized campaigning in social networks B Kotnis, A Sunny, J Kuri IEEE/ACM Transactions on Networking 25 (3), 1621-1634, 2017 | 12 | 2017 |
| Benchie: Open information extraction evaluation based on facts, not tokens K Gashteovski, M Yu, B Kotnis, C Lawrence, G Glavas, M Niepert arXiv preprint arXiv:2109.06850, 2021 | 11 | 2021 |
| Cost effective rumor containment in social networks B Kotnis, J Kuri arXiv preprint arXiv:1403.6315, 2014 | 11 | 2014 |
| Annie: An annotation platform for constructing complete open information extraction benchmark N Friedrich, K Gashteovski, M Yu, B Kotnis, C Lawrence, M Niepert, ... arXiv preprint arXiv:2109.07464, 2021 | 9 | 2021 |
| Knowledge base inference using bridging entities B Kotnis, P Bansal, P Talukdar Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 9 | 2015 |
| Percolation on networks with antagonistic and dependent interactions B Kotnis, J Kuri Physical Review E 91 (3), 032805, 2015 | 8 | 2015 |
| Evaluating the usefulness of paratransgenesis for malaria control B Kotnis, J Kuri Mathematical Biosciences 277, 117-125, 2016 | 7 | 2016 |
| Learning knowledge graph embeddings with type regularizer B Kotnis, V Nastase Proceedings of the 9th Knowledge Capture Conference, 1-4, 2017 | 6 | 2017 |
| Method and system for learning numerical attributes on knowledge graphs B Kotnis, AG Duran US Patent App. 16/434,208, 2020 | 5 | 2020 |
| Human-centric research for nlp: Towards a definition and guiding questions B Kotnis, K Gashteovski, J Gastinger, G Serra, F Alesiani, T Sztyler, ... arXiv preprint arXiv:2207.04447, 2022 | 4 | 2022 |
| Abstract graphs and abstract paths for knowledge graph completion V Nastase, B Kotnis Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 4 | 2019 |
Carolin LawrenceNEC Laboratories EuropeDirección de correo verificada de neclab.eu
