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News/Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning
arxiv
PublishedJuly 23, 2026 at 4:00 AM
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Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning

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Publisher summary· verbatim

arXiv:2607.19845v1 Announce Type: cross Abstract: This paper introduces Sentence Splitter, a self-supervised framework built upon a T5-based encoder--decoder architecture for uncovering the latent factual structure of natural language sentences. The proposed method identifies the semantic boundary b

Models mentioned
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  • 01AI organization logo
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    t5-small
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Mentioned models
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  • 01
    t5-small
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Read original ↗All from arxiv →
Tags
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#nlp#self-supervised#knowledge-graph

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