@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Neural Metaphor Detection with Visibility Embeddings
%A Kehat, Gitit
%A Pustejovsky, James
%Y Ku, Lun-Wei
%Y Nastase, Vivi
%Y Vulić, Ivan
%S Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F kehat-pustejovsky-2021-neural
%X 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.
%R 10.18653/v1/2021.starsem-1.21
%U https://aclanthology.org/2021.starsem-1.21
%U https://doi.org/10.18653/v1/2021.starsem-1.21
%P 222-228
Markdown (Informal)
[Neural Metaphor Detection with Visibility Embeddings](https://aclanthology.org/2021.starsem-1.21) (Kehat & Pustejovsky, *SEM 2021)
ACL