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- W4299923313 abstract "Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on text segmentation focused on unsupervised methods such as clustering or graph search, due to the paucity in labeled data. In this work, we formulate text segmentation as a supervised learning problem, and present a large new dataset for text segmentation that is automatically extracted and labeled from Wikipedia. Moreover, we develop a segmentation model based on this dataset and show that it generalizes well to unseen natural text." @default.
- W4299923313 created "2022-10-03" @default.
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- W4299923313 date "2018-03-25" @default.
- W4299923313 modified "2023-10-14" @default.
- W4299923313 title "Text Segmentation as a Supervised Learning Task" @default.
- W4299923313 doi "https://doi.org/10.48550/arxiv.1803.09337" @default.
- W4299923313 hasPublicationYear "2018" @default.
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