Using Language Learner Data for Metaphor Detection

Egon Stemle, Alexander Onysko


Abstract
This article describes the system that participated in the shared task on metaphor detection on the Vrije University Amsterdam Metaphor Corpus (VUA). The ST was part of the workshop on processing figurative language at the 16th annual conference of the North American Chapter of the Association for Computational Linguistics (NAACL2018). The system combines a small assertion of trending techniques, which implement matured methods from NLP and ML; in particular, the system uses word embeddings from standard corpora and from corpora representing different proficiency levels of language learners in a LSTM BiRNN architecture. The system is available under the APLv2 open-source license.
Anthology ID:
W18-0918
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:
133–138
Language:
URL:
https://aclanthology.org/W18-0918
DOI:
10.18653/v1/W18-0918
Bibkey:
Cite (ACL):
Egon Stemle and Alexander Onysko. 2018. Using Language Learner Data for Metaphor Detection. In Proceedings of the Workshop on Figurative Language Processing, pages 133–138, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Using Language Learner Data for Metaphor Detection (Stemle & Onysko, Fig-Lang 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-0918.pdf