@inproceedings{yue-hale-2026-transparent,
    title = "A Transparent Model of Syntactic and Semantic Cue-based Retrieval",
    author = "Yue, Shisen  and
      Hale, John T.",
    editor = "Voigt, Rob  and
      Warstadt, Alex  and
      Feldman, Naomi  and
      Linzen, Tal",
    booktitle = "Proceedings of the Society for Computation in Linguistics 2026",
    month = jul,
    year = "2026",
    address = "San Diego, CA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.scil-main.38/",
    pages = "411--422",
    ISBN = "979-8-89176-412-5",
    abstract = "Human comprehenders have greater difficulty forming pairwise grammatical dependencies in cases where the earlier word competes with a ``distractor'' to which it is similar. Cue-based retrieval theories (see e.g., Lewis et al., 2006) address this ``interference'' phenomenon with explicit quantifications of memory retrieval difficulty. We propose a computational model, consistent with Cue-based retrieval, that separately quantifies two different kinds of similarity. A linear combination of the two reproduces the graded interference pattern reported in Van Dyke (2007). This simple account offers a more straightforward mechanistic interpretation than Attention-based predictors from opaque Transformer based models."
}