Detecting Figurative Word Occurrences Using Recurrent Neural Networks
Agnieszka Mykowiecka, Aleksander Wawer, Malgorzata Marciniak
Abstract
The paper addresses detection of figurative usage of words in English text. The chosen method was to use neural nets fed by pretrained word embeddings. The obtained results show that simple solutions, based on words embeddings only, are comparable to complex solutions, using many sources of information which are not available for languages less-studied than English.- Anthology ID:
- W18-0916
- Volume:
- Proceedings of the Workshop on Figurative Language Processing
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee
- Venue:
- Fig-Lang
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 124–127
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W18-0916/
- DOI:
- 10.18653/v1/W18-0916
- Cite (ACL):
- Agnieszka Mykowiecka, Aleksander Wawer, and Malgorzata Marciniak. 2018. Detecting Figurative Word Occurrences Using Recurrent Neural Networks. In Proceedings of the Workshop on Figurative Language Processing, pages 124–127, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Detecting Figurative Word Occurrences Using Recurrent Neural Networks (Mykowiecka et al., Fig-Lang 2018)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W18-0916.pdf