@inproceedings{kehat-pustejovsky-2021-neural,
    title = "Neural Metaphor Detection with Visibility Embeddings",
    author = "Kehat, Gitit  and
      Pustejovsky, James",
    editor = "Ku, Lun-Wei  and
      Nastase, Vivi  and
      Vuli{\'c}, Ivan",
    booktitle = "Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.starsem-1.21/",
    doi = "10.18653/v1/2021.starsem-1.21",
    pages = "222--228",
    abstract = "We present new results for the problem of sequence metaphor labeling, using the recently developed Visibility Embeddings. We show that concatenating such embeddings to the input of a BiLSTM obtains consistent and significant improvements at almost no cost, and we present further improved results when visibility embeddings are combined with BERT."
}