TY - GEN
T1 - IlliniMet
T2 - 2nd Workshop on Figurative Language Processing 2020 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
AU - Gong, Hongyu
AU - Gupta, Kshitij
AU - Jain, Akriti
AU - Bhat, Suma
N1 - Funding Information:
This work is supported by IBM-ILLINOIS Center for Cognitive Computing Systems Research (C3SR) - a research collaboration as part of the IBM AI Horizons Network. We would like to thank the anonymous reviewers for their constructive comments and suggestions.
Publisher Copyright:
© 2020 Association for Computational Linguistics.
PY - 2020
Y1 - 2020
N2 - Metaphors are rhetorical use of words based on the conceptual mapping as opposed to their literal use. Metaphor detection, an important task in language understanding, aims to identify metaphors in word level from given sentences. We present IlliniMet, a system to automatically detect metaphorical words. Our model combines the strengths of the contextualized representation by the widely used RoBERTa model and the rich linguistic information from external resources such as WordNet. The proposed approach is shown to outperform strong baselines on a benchmark dataset. Our best model achieves F1 scores of 73.0% on VUA ALLPOS, 77.1% on VUA VERB, 70.3% on TOEFL ALLPOS and 71.9% on TOEFL VERB.
AB - Metaphors are rhetorical use of words based on the conceptual mapping as opposed to their literal use. Metaphor detection, an important task in language understanding, aims to identify metaphors in word level from given sentences. We present IlliniMet, a system to automatically detect metaphorical words. Our model combines the strengths of the contextualized representation by the widely used RoBERTa model and the rich linguistic information from external resources such as WordNet. The proposed approach is shown to outperform strong baselines on a benchmark dataset. Our best model achieves F1 scores of 73.0% on VUA ALLPOS, 77.1% on VUA VERB, 70.3% on TOEFL ALLPOS and 71.9% on TOEFL VERB.
UR - http://www.scopus.com/inward/record.url?scp=85116055827&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85116055827&partnerID=8YFLogxK
U2 - 10.18653/v1/2020.figlang-1.21
DO - 10.18653/v1/2020.figlang-1.21
M3 - Conference contribution
AN - SCOPUS:85116055827
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 146
EP - 153
BT - ACL 2020 - Figurative Language Processing, Proceedings of the 2nd Workshop
PB - Association for Computational Linguistics (ACL)
Y2 - 9 July 2020
ER -