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Context is the Key for LLM-Based Text Segmentation

delete2026-01-01
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PRE
AI
A
Amit Maraj
M
Miguel Vargas Martín *
DOI：10.1007/978-3-031-97141-9_10delete
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摘要

摘要

En 中文
文本分段涉及将文本划分为连贯的段落，通常由主题定义。过去十年中，大量研究致力于推动监督技术以处理TS任务的发展，这使得无监督TS技术进展有限。随着大型语言模型的兴起及其可访问性日益普及，无监督TS可以受益。通过利用LLM对自然语言强大的理解能力、适当提示以及输入有价值的内容，我们表明，即使使用本地运行的、开源的LLM模型，我们也能实现以Pk和WindowDiff得分为基准的最先进无监督TS结果。
Keyword:
Text Segmentation
LLM
Natural Language Understanding

期刊

N
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2025, PT I
IF:
0
论文数:
30
被引数:
0

机构

O
Ontario Tech University
学者数:
2.1K
论文数: 2.3K
被引数: 2
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