Todays feature of the week post will point you to one of the hidden features of the system. As most of you certainly know one way to acquire the meta data of a publication is to use the screen scraping facility of BibSonomy.
The cb2Bib is a tool for rapidly extracting unformatted, or unstandardized bibliographic references from email alerts, journal Web pages, and PDF files.
The cb2Bib is a free, open source, and multiplatform application for rapidly extracting unformatted, or unstandardized bibliographic references from email alerts, journal Web pages, and PDF files. The cb2Bib facilitates the capture of single references from unformatted and non standard sources. Output references are written in BibTeX. Article files can be easily linked and renamed by dragging them onto the cb2Bib window. Additionally, it permits editing and browsing BibTeX files, citing references, searching references and the full contents of the referenced documents, inserting bibliographic metadata to documents, and writing short notes that interrelate several references.
M. Granitzer, M. Hristakeva, R. Knight, K. Jack, and R. Kern. Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, page 19:1--19:8. New York, NY, USA, ACM, (2012)
M. Granitzer, M. Hristakeva, R. Knight, K. Jack, and R. Kern. Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, page 19:1--19:8. New York, NY, USA, ACM, (2012)
M. Zhang, J. Zhang, J. Su, and G. Zhou. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, page 825--832. Stroudsburg, PA, USA, Association for Computational Linguistics, (2006)
P. Talukdar, T. Brants, M. Liberman, and F. Pereira. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), page 141--148. New York City, Association for Computational Linguistics, (June 2006)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 5th International Conference on Natural Language and Speech Processing, page 282--287. Association for Computational Linguistics, (2022)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, page 110--115. Association for Computational Linguistics, (2023)