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GRAI-UNSTPB/SeLeRoSa
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Citation text from the card
@inproceedings{10.1145/3746252.3761632,
author = {Sm\u{a}du, R\u{a}zvan-Alexandru and
Iuga, Andreea and
Cercel, Dumitru-Clementin and
Pop, Florin},
title = {SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset},
year = {2025},
isbn = {9798400720406},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3746252.3761632},
doi = {10.1145/3746252.3761632},
abstract = {Satire, irony, and sarcasm are techniques that are typically
used humorously or critically, rather than deceptively; they can
occasionally be mistaken for factual reporting, akin to fake news. These
techniques can be applied at a more granular level, allowing satirical
information to be incorporated into news articles. In this paper, we
introduce the first sentence-level dataset for Romanian satire detection
for news articles, called SeLeRoSa. The dataset comprises 13,873 manually
annotated sentences spanning various domains, including social issues, IT,
science, and movies. With the rise and recent progress of large language
models (LLMs) in the natural language processing literature, LLMs have
demonstrated enhanc
The same facts for your agent
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dataset_licence({ "id": "GRAI-UNSTPB/SeLeRoSa" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0