SatiricLR: a Language Resource of Satirical News Articles

Alice Frain, Sander Wubben


Abstract
In this paper we introduce the Satirical Language Resource: a dataset containing a balanced collection of satirical and non satirical news texts from various domains. This is the first dataset of this magnitude and scope in the domain of satire. We envision this dataset will facilitate studies on various aspects of of sat- ire in news articles. We test the viability of our data on the task of classification of satire.
Anthology ID:
L16-1653
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4137–4140
Language:
URL:
https://aclanthology.org/L16-1653
DOI:
Bibkey:
Cite (ACL):
Alice Frain and Sander Wubben. 2016. SatiricLR: a Language Resource of Satirical News Articles. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4137–4140, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
SatiricLR: a Language Resource of Satirical News Articles (Frain & Wubben, LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1653.pdf
Code
 swubb/SatiricLR