INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter

Delia Irazú Hernández Farías; Fernando Sanchez - Vega; Manuel Montes; Paolo Rosso

doi:10.18653/v1/S18-1097

INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter

Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso

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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.

Anthology ID:: S18-1097
Volume:: Proceedings of the 12th International Workshop on Semantic Evaluation
Month:: June
Year:: 2018
Address:: New Orleans, Louisiana
Editors:: Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 594–599
Language:
URL:: https://aclanthology.org/S18-1097/
DOI:: 10.18653/v1/S18-1097
Bibkey:
Cite (ACL):: Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, and Paolo Rosso. 2018. INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 594–599, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):: INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter (Hernández Farías et al., SemEval 2018)
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PDF:: https://aclanthology.org/S18-1097.pdf

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@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

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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)

INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter (Hernández Farías et al., SemEval 2018)

ACL

Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, and Paolo Rosso. 2018. INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 594–599, New Orleans, Louisiana. Association for Computational Linguistics.