@inproceedings{baumann-deisenhofer-2023-framingfreaks,
title = "{F}raming{F}reaks at {S}em{E}val-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine Learning",
author = "Baumann, Rosina and
Deisenhofer, Sabrina",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.127",
doi = "10.18653/v1/2023.semeval-1.127",
pages = "922--926",
abstract = "This paper describes our participation as team FramingFreaks in the SemEval-2023 task 3 {``}Category and Framing Predictions in online news in a multi-lingual setup.{''} We participated in subtasks 1 and 2. Our approach was to classify texts by splitting them into subwords to reduce the feature set size and then using these tokens as input in Support Vector Machine (SVM) or logistic regression classifiers. Our results are similar to the baseline results.",
}
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<abstract>This paper describes our participation as team FramingFreaks in the SemEval-2023 task 3 “Category and Framing Predictions in online news in a multi-lingual setup.” We participated in subtasks 1 and 2. Our approach was to classify texts by splitting them into subwords to reduce the feature set size and then using these tokens as input in Support Vector Machine (SVM) or logistic regression classifiers. Our results are similar to the baseline results.</abstract>
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%0 Conference Proceedings
%T FramingFreaks at SemEval-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine Learning
%A Baumann, Rosina
%A Deisenhofer, Sabrina
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F baumann-deisenhofer-2023-framingfreaks
%X This paper describes our participation as team FramingFreaks in the SemEval-2023 task 3 “Category and Framing Predictions in online news in a multi-lingual setup.” We participated in subtasks 1 and 2. Our approach was to classify texts by splitting them into subwords to reduce the feature set size and then using these tokens as input in Support Vector Machine (SVM) or logistic regression classifiers. Our results are similar to the baseline results.
%R 10.18653/v1/2023.semeval-1.127
%U https://aclanthology.org/2023.semeval-1.127
%U https://doi.org/10.18653/v1/2023.semeval-1.127
%P 922-926
Markdown (Informal)
[FramingFreaks at SemEval-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine Learning](https://aclanthology.org/2023.semeval-1.127) (Baumann & Deisenhofer, SemEval 2023)
ACL