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20232026
most citedTransforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)

3 citations · 3 across the 3 of their papers we have counts for

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cs.CL2026

Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings

Stephen Meisenbacher, Peter Norlander

Utilizing LLMs for automated taxonomy construction presents a clear opportunity for the comprehensive, yet efficient mapping of potentially complex domains. When contending with hi…

cs.CL2023★ 3 cited

Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)

Stephen Meisenbacher, Peter Norlander

We describe a method and new no-code software tools enabling domain experts to build custom structured, labeled datasets from the unstructured text of documents and build niche mac…