| Data-driven Summarization of Scientific Articles NI Nikolov, M Pfeiffer, RHR Hahnloser Proceedings of the 7th Workshop on Mining Scientific Publications, LREC 2018, 2018 | 50 | 2018 |
| Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders NI Nikolov, E Malmi, C Northcutt, L Parisi Proceedings of the 13th International Conference on Natural Language …, 2020 | 31 | 2020 |
| Character-Level Translation with Self-attention Y Gao, NI Nikolov, Y Hu, RHR Hahnloser Proceedings of ACL 2020, 2020 | 30 | 2020 |
| Large-scale Hierarchical Alignment for Data-driven Text Rewriting NI Nikolov, RHR Hahnloser Proceedings of RANLP 2019, 2019 | 26* | 2019 |
| Character-level Chinese-English Translation through ASCII Encoding NI Nikolov, Y Hu, M Xue Tan, RHR Hahnloser Proceedings of the Third Conference on Machine Translation (WMT18), 2018 | 18 | 2018 |
| Abstractive Document Summarization without Parallel Data NI Nikolov, RHR Hahnloser Proceedings of LREC 2020, 2020 | 13 | 2020 |
| Embedding-based Scientific Literature Discovery in a Text Editor Application O Gökçe, J Prada, NI Nikolov, N Gu, RHR Hahnloser ACL 2020, Demo papers, 2020 | 11 | 2020 |
| A computational investigation of inventive spelling and the “Lesen durch Schreiben” method J Born, NI Nikolov, A Rosenkranz, A Schabmann, BM Schmidt Computers and Education: Artificial Intelligence, 100063, 2022 | 3 | 2022 |
| Abstractive Document Summarization in High and Low Resource Settings NI Nikolov ETH Zurich, 2020 | 2 | 2020 |
| Summary Refinement through Denoising NI Nikolov, A Calmanovici, RHR Hahnloser Proceedings of RANLP 2019, 2019 | 1 | 2019 |
Richard HahnloserInstitute of Neuroinformatics, ETH Zurich and University of Zurich在 ini.ethz.ch 的电子邮件经过验证
