@inproceedings{eibers-etal-2023-improving,
    title = "Improving Low-resource {RRG} Parsing with Structured Gloss Embeddings",
    author = "Eibers, Roland  and
      Evang, Kilian  and
      Kallmeyer, Laura",
    editor = "Serikov, Oleg  and
      Voloshina, Ekaterina  and
      Postnikova, Anna  and
      Klyachko, Elena  and
      Vylomova, Ekaterina  and
      Shavrina, Tatiana  and
      Le Ferrand, Eric  and
      Malykh, Valentin  and
      Tyers, Francis  and
      Arkhangelskiy, Timofey  and
      Mikhailov, Vladislav",
    booktitle = "Proceedings of the Second Workshop on NLP Applications to Field Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.fieldmatters-1.6/",
    doi = "10.18653/v1/2023.fieldmatters-1.6",
    pages = "46--51",
    abstract = "Treebanking for local languages is hampered by the lack of existing parsers to generate pre-annotations. However, it has been shown that reasonably accurate parsers can be bootstrapped with little initial training data when use is made of the information in interlinear glosses and translations that language documentation data for such treebanks typically comes with. In this paper, we improve upon such a bootstrapping model by representing glosses using a combination of morphological feature vectors and pre-trained lemma embeddings. We also contribute a mapping from glosses to Universal Dependencies morphological features."
}