Detecting Target of Sarcasm using Ensemble Methods
Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
Abstract
We describe our methods in trying to detect the target of sarcasm as part of ALTA 2019 shared task. We use combination of ensemble of clas- sifiers and a rule-based system. Our team ob- tained a Dice-Sorensen Coefficient score of 0.37150, which placed 2nd in the public leader- board. Despite no team beating the baseline score for the private dataset, we present our findings and also some of the challenges and future improvements which can be used in or- der to tackle the problem.- Anthology ID:
- U19-1027
- Volume:
- Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association
- Month:
- 4--6 December
- Year:
- 2019
- Address:
- Sydney, Australia
- Editors:
- Meladel Mistica, Massimo Piccardi, Andrew MacKinlay
- Venue:
- ALTA
- SIG:
- Publisher:
- Australasian Language Technology Association
- Note:
- Pages:
- 197–203
- Language:
- URL:
- https://aclanthology.org/U19-1027
- DOI:
- Cite (ACL):
- Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, and David Eyers. 2019. Detecting Target of Sarcasm using Ensemble Methods. In Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association, pages 197–203, Sydney, Australia. Australasian Language Technology Association.
- Cite (Informal):
- Detecting Target of Sarcasm using Ensemble Methods (Parameswaran et al., ALTA 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/U19-1027.pdf