@inproceedings{preda-emerson-2022-using,
    title = "Using dependency parsing for few-shot learning in distributional semantics",
    author = "Preda, Stefania  and
      Emerson, Guy",
    editor = "Louvan, Samuel  and
      Madotto, Andrea  and
      Madureira, Brielen",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.acl-srw.38/",
    doi = "10.18653/v1/2022.acl-srw.38",
    pages = "461--466",
    abstract = "In this work, we explore the novel idea of employing dependency parsing information in the context of few-shot learning, the task of learning the meaning of a rare word based on a limited amount of context sentences. Firstly, we use dependency-based word embedding models as background spaces for few-shot learning. Secondly, we introduce two few-shot learning methods which enhance the additive baseline model by using dependencies."
}