@inproceedings{parameswaran-etal-2019-detecting,
title = "Detecting Target of Sarcasm using Ensemble Methods",
author = "Parameswaran, Pradeesh and
Trotman, Andrew and
Liesaputra, Veronica and
Eyers, David",
editor = "Mistica, Meladel and
Piccardi, Massimo and
MacKinlay, Andrew",
booktitle = "Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association",
month = "4--6 " # dec,
year = "2019",
address = "Sydney, Australia",
publisher = "Australasian Language Technology Association",
url = "https://aclanthology.org/U19-1027",
pages = "197--203",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Detecting Target of Sarcasm using Ensemble Methods
%A Parameswaran, Pradeesh
%A Trotman, Andrew
%A Liesaputra, Veronica
%A Eyers, David
%Y Mistica, Meladel
%Y Piccardi, Massimo
%Y MacKinlay, Andrew
%S Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association
%D 2019
%8 4–6 dec
%I Australasian Language Technology Association
%C Sydney, Australia
%F parameswaran-etal-2019-detecting
%X 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.
%U https://aclanthology.org/U19-1027
%P 197-203
Markdown (Informal)
[Detecting Target of Sarcasm using Ensemble Methods](https://aclanthology.org/U19-1027) (Parameswaran et al., ALTA 2019)
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.