Dr. Inventor Text Mining Framework, a Java library to bootstrap the analysis of scientific publications
Dr. Inventor Text Mining Framework is a self-contained java library that enables the automated analysis of scientific publications. The Framework is intended to support researchers as well as any other interested actor in easily bootstrapping any automated analysis and study of scientific articles. Given a paper (PDF or JATS XML), a set of Java methods and classes enables the access to the results of the analyses performed by the Framework. The Dr. Inventor Text Mining Framework supports the characterization of several aspects of scientific publications including the identification of their structural elements, the enrichment of their bibliographic entries by accessing external online services, the rhetorical characterization of sentences, named entity linking and disambiguation and the creation of extractive summaries.
The code of the Dr. Inventor Text Mining Framework has been developed by the Large-Scale Text Understanding Research Lab of the Universitat Pompeu Fabra, originally in the context of the FP7 European Project Dr. Inventor (call: FP7-ICT-2013.8.1 - Agreement No: 611383).
LICENSING: The Dr. Inventor Text Mining Framework is an open-source project distributed under the GPL v3.0 license, for non-commercial applications. In case a comercial licence is needed, you can contact the Large-Scale Text Understanding Research Lab for more information about licensing conditions and for consulting how the Dr. Inventor Text Mining Framework can suit your application.
DOCUMENTATION: https://driframework.readthedocs.io/en/
REFERENCE: the core publications introducing the Dr. Inventor Text Mining Framework is:
Ronzano, F., & Saggion, H. (2015, October). Dr. Inventor Framework: Extracting Structured Information from Scientific Publications. In International Conference on Discovery Science (pp. 209-220). Springer International Publishing. LINK
HOW TO CONTRIBUTE: in order to contribute to the Dr. Inventor Framework you can create pull requests to our GitHub repository. In order to ask for any help, you can create an issue in our GitHub repository.
CONTACT: for any information, please contact us at horacio.saggion@upf.edu or francesco.ronzano@upf.edu