Abstractive timeline summarization J Steen, K Markert Proceedings of the 2nd Workshop on New Frontiers in Summarization, 21-31, 2019 | 44 | 2019 |
Universal Dependencies are hard to parse–or are they? I Rehbein, J Steen, BN Do, A Frank Proceedings of the fourth international conference on dependency linguistics …, 2017 | 18 | 2017 |
How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation J Steen, K Markert arXiv preprint arXiv:2101.11298, 2021 | 9 | 2021 |
With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness J Steen, J Opitz, A Frank, K Markert arXiv preprint arXiv:2305.16819, 2023 | 5 | 2023 |
AMR4NLI: Interpretable and robust NLI measures from semantic graphs J Opitz, S Wein, J Steen, A Frank, N Schneider arXiv preprint arXiv:2306.00936, 2023 | 4 | 2023 |
How to find strong summary coherence measures? a toolbox and a comparative study for summary coherence measure evaluation J Steen, K Markert arXiv preprint arXiv:2209.06517, 2022 | 4 | 2022 |
Investigating gender bias in news summarization J Steen, K Markert arXiv preprint arXiv:2309.08047, 2023 | 1 | 2023 |
Detecting annotation scheme variation in out-of-domain treebanks Y Versley, J Steen Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 1 | 2016 |