1. Recognition of chemical entities: combining dictionary-based and grammar-based approaches
2. Annotated Chemical Patent Corpus: A Gold Standard for Text Mining
3. Chemical entity recognition in patents by combining dictionary-based and statistical approaches
4. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D., Wu, J., Winter, C., ... Amodei, D. (2020). Language models are few-shot learners. In NIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems (pp. 1877–1901). ACM.
5. Chen L. Xu S. Shang W. Wang Z. Wei C. & Xu H. (2020a). What is special about patent information extraction? In Proceedings of the EEKE 2020 - Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (pp. 63–72).