@inproceedings{bizzoni-ghanimifard-2018-bigrams,
    title = "Bigrams and {B}i{LSTM}s Two Neural Networks for Sequential Metaphor Detection",
    author = "Bizzoni, Yuri  and
      Ghanimifard, Mehdi",
    editor = "Beigman Klebanov, Beata  and
      Shutova, Ekaterina  and
      Lichtenstein, Patricia  and
      Muresan, Smaranda  and
      Wee, Chee",
    booktitle = "Proceedings of the Workshop on Figurative Language Processing",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/W18-0911/",
    doi = "10.18653/v1/W18-0911",
    pages = "91--101",
    abstract = "We present and compare two alternative deep neural architectures to perform word-level metaphor detection on text: a bi-LSTM model and a new structure based on recursive feed-forward concatenation of the input. We discuss different versions of such models and the effect that input manipulation - specifically, reducing the length of sentences and introducing concreteness scores for words - have on their performance."
}