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David Arps
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Probing for constituency structure in neural language models
D Arps, Y Samih, L Kallmeyer, H Sajjad
arXiv preprint arXiv:2204.06201, 2022
222022
A parser for LTAG and frame semantics
D Arps, S Petitjean
Proceedings of the Eleventh International Conference on Language Resources …, 2018
122018
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
32019
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
22022
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
12023
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Unpublished Bachelor thesis at Heinrich-Heine-Universität Düsseldorf, 2018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
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Articles 1–8