PNRank: Unsupervised ranking of person name entities from noisy OCR text

Text databases have grown tremendously in number, size, and volume over the last few decades. Optical Character Recognition (OCR) software is used to scan the text and make them available in online repositories. The OCR transcription process is often not accurate resulting in large volumes of garble...

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Veröffentlicht in:	Decision Support Systems 2022-01, Vol.152, p.113662, Article 113662
Hauptverfasser:	Dutta, Haimonti, Gupta, Aayushee
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cleaning Feature extraction Information retrieval Kernel density estimation Named entity recognition Names Natural language processing Noise OCR noise Optical character recognition Quality assessment Ranking Repositories Software Unsupervised ranking
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