Work

Name Matters: Taxonomic Name Recognition (TNR) in Biodiversity Heritage Library (BHL)

Year: 2010

Type: article

Abstract: Taxonomic Name Recognition is prerequisite for more advanced processing and mining of full-text taxonomic literatures. This paper investigates three issues of current TNR tools in detail: (1) The difficulties and methods used in TNRs. (2) The performance of Optical Character Recognition (OCR) and TNR tools by samples from Biodiversity Heritage Library (BHL). (3) The methods for potential improvement. We found that the performances of current TNR techniques need to be improved. A detailed error analysis reveals that sublanguage characteristics account for much of the error. A preliminary experiment using NaiveBayes (NB) models shows the potential of using machine learning (ML) in TNR.

Source: Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

Authors: Wei Qin, P. Bryan Heidorn, Chris Freeland

Institutions: University of Illinois Urbana-Champaign, University of Arizona, Missouri Botanical Garden

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W223607093

FWCI: 0.92

Cites: 6

Cited by: 7

Related to: 10