A Parser for LTAG and Frame Semantics. - David Arps; Simon Petitjean (LREC, 2018)

Probing for Constituency Structure in Neural Language Models. - David Arps; Younes Samih; Laura Kallmeyer; Hassan Sajjad 001 (EMNLP (Findings), 2022)

HHUplexity at Text Complexity DE Challenge 2022. - David Arps; Jan Kels; Florian Krämer; Yunus Renz; Regina Stodden; Wiebke Petersen (GermEval@KONVENS, 2022)

Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building. - Omar Momen; David Arps; Laura Kallmeyer (CoRR, 2023)

Multilingual Nonce Dependency Treebanks: Understanding how LLMs represent and process syntactic structure. - David Arps; Laura Kallmeyer; Younes Samih; Hassan Sajjad 001 (CoRR, 2023)

Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure. - David Arps; Laura Kallmeyer; Younes Samih; Hassan Sajjad 001 (NAACL-HLT, 2024)

Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding. - Renato Vukovic; David Arps; Carel van Niekerk; Benjamin Matthias Ruppik; Hsien-Chin Lin; Michael Heck; Milica Gasic (SIGDIAL, 2024)

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models. - Sri Harsha Dumpala; David Arps; Sageev Oore; Laura Kallmeyer; Hassan Sajjad 001 (CoRR, 2024)

Linking language model predictions to human behaviour on scalar implicatures. - Yulia Zinova; David Arps; Katharina Spalek; Jacopo Romoli (COLING Workshops, 2025)