@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",
booktitle = "Proceedings of the Workshop on Figurative Language Processing",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor Detection
%A Bizzoni, Yuri
%A Ghanimifard, Mehdi
%S Proceedings of the Workshop on Figurative Language Processing
%D 2018
%8 jun
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F bizzoni-ghanimifard-2018-bigrams
%X 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.
%R 10.18653/v1/W18-0911
%U https://aclanthology.org/W18-0911
%U https://doi.org/10.18653/v1/W18-0911
%P 91-101
Markdown (Informal)
[Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor Detection](https://aclanthology.org/W18-0911) (Bizzoni & Ghanimifard, 2018)
ACL