most citedIndustrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 2 cited

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning

Susan Leavy, Emilie Pine, Mark T Keane

We present a text mining system to support the exploration of large volumes of text detailing the findings of government inquiries. Despite their historical significance and potent…