@inproceedings{dunn-2019-frequency,
    title = "Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar",
    author = "Dunn, Jonathan",
    editor = "Chersoni, Emmanuele  and
      Jacobs, Cassandra  and
      Lenci, Alessandro  and
      Linzen, Tal  and
      Pr{\'e}vot, Laurent  and
      Santus, Enrico",
    booktitle = "Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-2913/",
    doi = "10.18653/v1/W19-2913",
    pages = "117--128",
    abstract = "A usage-based Construction Grammar (CxG) posits that slot-constraints generalize from common exemplar constructions. But what is the best model of constraint generalization? This paper evaluates competing frequency-based and association-based models across eight languages using a metric derived from the Minimum Description Length paradigm. The experiments show that association-based models produce better generalizations across all languages by a significant margin."
}