1. Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media Inc., Newton (2009)
2. Cardellino, C., Teruel, M., Alonso Alemany, L., Villata, S.: A low-cost, high-coverage legal named entity recognizer, classifier and linker. In: Proceedings of the 16th International Conference on Artificial Intelligence and Law (ICAIL), London, United Kingdom, June 2017.
https://hal.archives-ouvertes.fr/hal-01541446
3. de Castilho, R.E., et al.: A web-based tool for the integrated annotation of semantic and syntactic structures. In: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), pp. 76–84 (2016)
4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);C Dozier,2010
5. Freitas, C., Mota, C., Santos, D., Oliveira, H.G., Carvalho, P.: Second HAREM: advancing the state of the art of named entity recognition in Portuguese. In: Language Resources and Evaluation Conference (LREC). European Language Resources Association (2010)