@inproceedings{mccurdy-hahn-2024-lossy,
    title = "Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing",
    author = "McCurdy, Kate  and
      Hahn, Michael",
    editor = "Barak, Libby  and
      Alikhani, Malihe",
    booktitle = "Proceedings of the 28th Conference on Computational Natural Language Learning",
    month = nov,
    year = "2024",
    address = "Miami, FL, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.conll-1.4/",
    doi = "10.18653/v1/2024.conll-1.4",
    pages = "36--45",
    abstract = "English relative clauses are a critical test case for theories of syntactic processing. Expectation- and memory-based accounts make opposing predictions, and behavioral experiments have found mixed results. We present a technical extension of Lossy Context Surprisal (LCS) and use it to model relative clause processing in three behavioral experiments. LCS predicts key results at distinct retention rates, showing that task-dependent memory demands can account for discrepant behavioral patterns in the literature."
}