A closer look at the performance of neural language models on reflexive anaphor licensing

Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora

Reflexive anaphora present a challenge for semantic interpretation: their meaning varies depending on context in a way that appears to require abstract variables. Past work has raised doubts about the ability of recurren…

Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions

Clause-Internal or Clause-External? Testing Turkish Reflexive Binding in Adapted versus Chain of Thought Large Language Models

This study evaluates whether state-of-the-art large language models capture the binding relations of Turkish reflexive pronouns. We construct a balanced evaluation set of 100 Turkish sentences that systematically pit loc…

Handling Noun-Noun Coreference in Tamil

Natural language understanding by automatic tools is the vital requirement for document processing tools. To achieve it, automatic system has to understand the coherence in the text. Co-reference chains bring coherence t…

Word Frequency Does Not Predict Grammatical Knowledge in Language Models

Neural language models learn, to varying degrees of accuracy, the grammatical properties of natural languages. In this work, we investigate whether there are systematic sources of variation in the language models' accura…