| Probing for constituency structure in neural language models D Arps, Y Samih, L Kallmeyer, H Sajjad arXiv preprint arXiv:2204.06201, 2022 | 22 | 2022 |
| A parser for LTAG and frame semantics D Arps, S Petitjean Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 12 | 2018 |
| Chart-based RRG parsing for automatically extracted and hand-crafted RRG grammars D Arps, T Bladier, L Kallmeyer University at Buffalo, Role and Reference Grammar RRG Conference, 2019 | 3 | 2019 |
| HHUplexity at Text Complexity DE Challenge 2022 D Arps, J Kels, F Krämer, Y Renz, R Stodden, W Petersen Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of …, 2022 | 2 | 2022 |
| Increasing the performance of cognitively inspired data-efficient language models via implicit structure building O Momen, D Arps, L Kallmeyer arXiv preprint arXiv:2310.20589, 2023 | 1 | 2023 |
| Multilingual Nonce Dependency Treebanks: Understanding how LLMs represent and process syntactic structure D Arps, L Kallmeyer, Y Samih, H Sajjad arXiv preprint arXiv:2311.07497, 2023 | | 2023 |
| Chart-based RRG parsing using an automatically extracted RRG grammar with features D Arps, T Bladier, L Kallmeyer International Conference on Role and Reference Grammar, 2019 | | 2019 |
| Parsing Role and Reference Grammar D Arps Unpublished Bachelor thesis at Heinrich-Heine-Universität Düsseldorf, 2018 | | 2018 |
