Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017 | 126 | 2017 |
Latent structures for coreference resolution S Martschat, M Strube Transactions of the Association for Computational Linguistics 3, 405-418, 2015 | 103 | 2015 |
A temporally sensitive submodularity framework for timeline summarization S Martschat, K Markert arXiv preprint arXiv:1810.07949, 2018 | 46 | 2018 |
A multigraph model for coreference resolution S Martschat, J Cai, S Broscheit, E Mújdricza-Maydt, M Strube Joint Conference on EMNLP and CoNLL-Shared Task, 100-106, 2012 | 38 | 2012 |
Improving ROUGE for Timeline Summarization S Martschat, K Markert EACL 2017, 2017 | 33 | 2017 |
Recall Error Analysis for Coreference Resolution S Martschat, M Strube Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 30 | 2014 |
Multigraph clustering for unsupervised coreference resolution S Martschat 51st Annual Meeting of the Association for Computational Linguistics …, 2013 | 24 | 2013 |
Analyzing and visualizing coreference resolution errors S Martschat, T Göckel, M Strube Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 12 | 2015 |
Plug latent structures and play coreference resolution S Martschat, P Claus, M Strube Proceedings of ACL-IJCNLP 2015 System Demonstrations, 61-66, 2015 | 7 | 2015 |
Structured Representations for Coreference Resolution S Martschat | 5 | 2017 |
Multi-source (pre-) training for cross-domain measurement, unit and context extraction Y Li, S Martschat, SP Ponzetto arXiv preprint arXiv:2308.02951, 2023 | 1 | 2023 |