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GRAI-UNSTPB/SeLeRoSa-proc

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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

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dataset_licence({ "id": "GRAI-UNSTPB/SeLeRoSa-proc" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0