Papers by George C.G. Barbosa

1 papers
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction (2022.naacl-demo)

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Challenge: Vacareanu et al., 2021) proposes a system that helps users build transparent information extraction models . rule-based methods address the opacity of neural architectures by producing models that are transparent .
Approach: They propose a system that assists a user in constructing transparent information extraction models . the system generates high-precision rules even in a 1-shot setting, they show .
Outcome: The proposed system generates high-precision rules even in a 1-shot setting . it outperforms manually written patterns on a widely-used relation extraction dataset .

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