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cs.CL2025
Understanding Syntactic Generalization in Structure-inducing Language Models
David Arps, Hassan Sajjad, Laura Kallmeyer
Structure-inducing Language Models (SiLM) are trained on a self-supervised language modeling task, and induce a hierarchical sentence representation as a byproduct when processing…
cs.CL2025
Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding
Renato Vukovic, David Arps, Carel van Niekerk +4
State-of-the-art task-oriented dialogue systems typically rely on task-specific ontologies for fulfilling user queries. The majority of task-oriented dialogue data, such as custome…
cs.CL2024
Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure
David Arps, Laura Kallmeyer, Younes Samih +1
We introduce SPUD (Semantically Perturbed Universal Dependencies), a framework for creating nonce treebanks for the multilingual Universal Dependencies (UD) corpora. SPUD data sati…