1. Charniak, E.: Statistical parsing with a context-free grammar and word statistics. In: Kuipers, B., Webber, B.L. (eds.) Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, AAAI 1997, IAAI 1997(July), pp. 27–31, 1997. Providence, Rhode Island, USA, pp. 598–603. AAAI Press/The MIT Press (1997). http://www.aaai.org/Library/AAAI/1997/aaai97-093.php
2. Cimiano, P., Unger, C., McCrae, J.P.: Ontology-Based Interpretation of Natural Language. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers (2014). https://doi.org/10.2200/S00561ED1V01Y201401HLT024
3. Dawson, H., Phelan, M.: Language Files: Materials for an Introduction to Language and Linguistics. Ohio State University Press (2016). https://books.google.com.sg/books?id=wSP_jgEACAAJ
4. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, 2–7 June 2019, vol. 1, (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/n19-1423
5. d’Avila Garcez, A.S., Gori, M., Lamb, L.C., Serafini, L., Spranger, M., Tran, S.N.: Neural-symbolic computing: an effective methodology for principled integration of machine learning and reasoning. FLAP. 6(4), 611–632 (2019). https://collegepublications.co.uk/ifcolog/?00033