| Challenge: | Among underrepresented but widely read forms are serialized fiction and feuilleton novels embedded in newspapers rather than published as standalone volumes. |
| Approach: | They propose to annotate 1,394 articles and evaluate classification pipelines using both selected linguistic features and embeddings to identify serialized fiction and feuilleton fiction. |
| Outcome: | The proposed methods achieve F1-scores of 0.91 in an annotated dataset of 1,394 articles and support the construction of alternative literary corpora and contribute to work on modeling the fiction–nonfiction boundary at scale. |
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