This blog presents the research program “Robust and Language Independent Machine Learning Approaches for Automatic Annotation of Bibliographical References in DH Books, Articles and Blogs”, which is a recipient of a Google Grant for Digital Humanities.
The program is supported by the Centre for open electronic publishing (Cléo) and the Laboratoire Informatique d’Avignon (LIA). It aims to build a software environment enabling the recognition and automatic structuring of references in academic digital texts whatever their bibliographic styles. Over time, the tool will enable the development of cross-linking functions within the platform towards outside sources. Since the launch of the program, two persons have been recruited and collaborations have been started with other “Text-mining” research programs.
It is a space for reflection about methods and results.