“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition
Journal of Intelligent Manufacturing.
author keywords: NER; Technical language processing; TLP; Word2Vec; Topic modeling
TL;DR:
This work presents a supervised machine learning approach to categorize unstructured text from 500K+ manufacturing science related scientific abstracts and labelling them under various manufacturing topic categories, using the developed NER model as a Technical Language Processing (TLP) workflow on manufacturing science documents.
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