@inproceedings{hernandez-farias-etal-2018-inaoe,
title = "{INAOE}-{UPV} at {S}em{E}val-2018 Task 3: An Ensemble Approach for Irony Detection in {T}witter",
author = "Hern{\'a}ndez Far{\'\i}as, Delia Iraz{\'u} and
S{\'a}nchez-Vega, Fernando and
Montes-y-G{\'o}mez, Manuel and
Rosso, Paolo",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1097",
doi = "10.18653/v1/S18-1097",
pages = "594--599",
abstract = "This paper describes an ensemble approach to the SemEval-2018 Task 3. The proposed method is composed of two renowned methods in text classification together with a novel approach for capturing ironic content by exploiting a tailored lexicon for irony detection. We experimented with different ensemble settings. The obtained results show that our method has a good performance for detecting the presence of ironic content in Twitter.",
}
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%0 Conference Proceedings
%T INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter
%A Hernández Farías, Delia Irazú
%A Sánchez-Vega, Fernando
%A Montes-y-Gómez, Manuel
%A Rosso, Paolo
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F hernandez-farias-etal-2018-inaoe
%X This paper describes an ensemble approach to the SemEval-2018 Task 3. The proposed method is composed of two renowned methods in text classification together with a novel approach for capturing ironic content by exploiting a tailored lexicon for irony detection. We experimented with different ensemble settings. The obtained results show that our method has a good performance for detecting the presence of ironic content in Twitter.
%R 10.18653/v1/S18-1097
%U https://aclanthology.org/S18-1097
%U https://doi.org/10.18653/v1/S18-1097
%P 594-599
Markdown (Informal)
[INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter](https://aclanthology.org/S18-1097) (Hernández Farías et al., SemEval 2018)
ACL