AI RESEARCH
BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation
arXiv CS.CL
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ArXi:2510.20151v2 Announce Type: replace Structured texts refer to texts containing structured elements beyond plain texts, such as code snippets and placeholders. Such structured texts increasingly require segmentation into semantically meaningful components, which cannot be effectively handled by conventional sentence-level segmentation methods. To address this, we propose BoundRL, a novel approach that jointly performs efficient token-level text segmentation and label prediction for long structured texts.