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Guideline Learning for In-context Information Extraction
In this paper, we propose a Guideline Learning (GL) framework for In-context IE which reflectively learns and follows guidelines.
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application
In this paper, we study the problem of extracting variable-depth "logical document hierarchy" from long documents, namely organizing the recognized "physical document objects" into hierarchical structures.
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