@inproceedings{mager-kann-2020-ims,
    title = "The {IMS}{--}{CUB}oulder System for the {SIGMORPHON} 2020 Shared Task on Unsupervised Morphological Paradigm Completion",
    author = "Mager, Manuel  and
      Kann, Katharina",
    editor = "Nicolai, Garrett  and
      Gorman, Kyle  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.sigmorphon-1.9/",
    doi = "10.18653/v1/2020.sigmorphon-1.9",
    pages = "99--105",
    abstract = "In this paper, we present the systems of the University of Stuttgart IMS and the University of Colorado Boulder (IMS{--}CUBoulder) for SIGMORPHON 2020 Task 2 on unsupervised morphological paradigm completion (Kann et al., 2020). The task consists of generating the morphological paradigms of a set of lemmas, given only the lemmas themselves and unlabeled text. Our proposed system is a modified version of the baseline introduced together with the task. In particular, we experiment with substituting the inflection generation component with an LSTM sequence-to-sequence model and an LSTM pointer-generator network. Our pointer-generator system obtains the best score of all seven submitted systems on average over all languages, and outperforms the official baseline, which was best overall, on Bulgarian and Kannada."
}