Papers with macro F1 metrics

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The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild (2022.lrec-1)

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Challenge: GINCO is a new training dataset for automatic genre identification based on 1,125 crawled Slovenian web documents that consist of 650,000 words.
Approach: They propose to use 1,125 crawled Slovenian web documents to train a new genre classification system based on a GINCO training dataset .
Outcome: The proposed classifiers perform better on the 1,125 crawled Slovenian web documents than the existing models and achieve higher scores on the task.

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