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- W2953760147 abstract "Tintin, the system proposed by the CECL for the Hyperpartisan News Detection task of SemEval 2019, is exclusively based on the tokens that make up the documents and a standard supervised learning procedure. It obtained very contrasting results: poor on the main task, but much more effective at distinguishing documents published by hyperpartisan media outlets from unbiased ones, as it ranked first. An analysis of the most important features highlighted the positive aspects, but also some potential limitations of the approach." @default.
- W2953760147 created "2019-07-12" @default.
- W2953760147 creator A5001187074 @default.
- W2953760147 date "2019-01-01" @default.
- W2953760147 modified "2023-09-23" @default.
- W2953760147 title "Tintin at SemEval-2019 Task 4: Detecting Hyperpartisan News Article with only Simple Tokens" @default.
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- W2953760147 doi "https://doi.org/10.18653/v1/s19-2186" @default.
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