most citedPipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.IR2019★ 13 cited

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre +10

This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions t…