1. Adams, S. R. (2006). Information sources in patents (pp. 234–235). Munich: K. G. Saur.
2. Ahlers, C. B., Fiszman, M., Demner-Fushman, D., Lang, F.-M., & Rindflesch, T. C. (2007). Extracting semantic predications from medline citations for pharmacogenomics. Pacific Symposium on Biocomputing,
12, 209–220.
3. Angeli, G., Premkumar, M. J. J., & Manning, C. D. (2015). Leveraging linguistic structure for open domain information extraction. In Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing (Vol. 1: Long Papers, pp. 344–354).
4. Bär, D., Biemann, C., Gurevych, I., & Zesch, T. (2012). Ukp: Computing semantic textual similarity by combining multiple content similarity measures. In Proceedings of the first joint conference on lexical and computational semantics-volume 1: Proceedings of the main conference and the shared task, and volume 2: Proceedings of the sixth international workshop on semantic evaluation (pp. 435–440). Association for Computational Linguistics.
5. Bergmann, I., Butzke, D., Walter, L., Fuerste, J. P., Moehrle, M. G., & Erdmann, V. A. (2008). Evaluating the risk of patent infringement by means of semantic patent analysis: The case of DNA chips. R&D Management,
38(5), 550–562.