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URL: http://code.google.com/p/lapdftext/
Proper Citation: lapdftext (RRID:SCR_006167)
Description: Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise.
Abbreviations: lapdftext, LA-PDFText,
Synonyms: Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles
Resource Type: software application, software resource, text extraction software
Defining Citation: PMID:22640904
Keywords: text mining, pdf, text extraction, natural language processing
Funding: NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01
Availability: Acknowledgement requested, GNU General Public License, v3
Resource Name: lapdftext
Resource ID: SCR_006167
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
