@inproceedings{hofmann-etal-2020-predicting,
    title = "Predicting the Growth of Morphological Families from Social and Linguistic Factors",
    author = {Hofmann, Valentin  and
      Pierrehumbert, Janet  and
      Sch{\"u}tze, Hinrich},
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.acl-main.649/",
    doi = "10.18653/v1/2020.acl-main.649",
    pages = "7273--7283",
    abstract = "We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as {\textquotedblleft}trump{\textquotedblright}, {\textquotedblleft}antitrumpism{\textquotedblright}, and {\textquotedblleft}detrumpify{\textquotedblright}, in social media. We introduce the novel task of Morphological Family Expansion Prediction (MFEP) as predicting the increase in the size of a morphological family. We create a ten-year Reddit corpus as a benchmark for MFEP and evaluate a number of baselines on this benchmark. Our experiments demonstrate very good performance on MFEP."
}