ChemDataExtractor Documentation

ChemDataExtractor is a toolkit for automatically extracting chemical information from scientific documents.

This guide provides a quick tour through ChemDataExtractor concepts and functionality.

Features

• HTML, XML and PDF document readers
• Chemistry-aware natural language processing pipeline
• Chemical named entity recognition
• Rule-based parsing grammars for property and spectra extraction
• Table parser for extracting tabulated data
• Document processing to resolve data interdependencies

Citing

If you use ChemDataExtractor as a resource in your research, please cite the following work:

Swain, M. C., & Cole, J. M. "ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature", J. Chem. Inf. Model. 2016, 56 (10), pp 1894–1904 10.1021/acs.jcim.6b00207

This project has been funded by the UK Engineering and Physical Sciences Research Council (EPSRC).