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LA-PDFText has been developed by members of the Biomedical Knowledge Engineering group @ the Information Sciences Institute. It is intended for use both scientists and NLP engineers interested in getting access to text within specific sections of research articles. The system is open-source and provides a simple baseline function for extracting text from primary research articles using rules that developers can customize. This means that the system works quite well for most applications (and might occasionally make mistakes and extract the wrong text), but it is always possible to 'hack' your own rules and improve performance.

License: GNU General Public License v3.0

lapdftext-1's Introduction

lapdftext

Instructions on how to download, install and run LA-PDFText version 1.7.2

Prerequisites:

The following software must be installed before running the tests in the folder src/test/java

  1. Java version 1.6
  2. Maven version 3.0.x

Getting, installing and testing the source

  1. Fork our parent project: https://github.com/BMKEG/bmkeg-parent
  2. Fork the lapdftext repo: https://github.com/BMKEG/lapdftext
  3. Run mvn package (this will download all dependencies & run all tests)
  • Note that some of the tests are a bit funky. We want to have systems that can watch directories and parse PDFs as they're put into them. This means that there are tests that count over the course of a minute and then add and remove PDF files from watched directories. This is a bit of pain to watch.
  • to avoid this and just build the code run mvn -DskipTests package

Changes from earlier systems

We no longer use UIMA as the basis of running this code. We would like to include a UIMA collection reader to help other UIMA developers iterate over their PDF collections but this is a low priority currently and may be exported to another module.

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