Author:
Chicaiza Janneth,Martínez-Velásquez Mateo,Soto-Coronel Fabian,Bouayad-Agha Nadget
Publisher
Springer Nature Switzerland
Reference22 articles.
1. Almotairi, M., Fkih, F.: A review on question answering systems: Domains, modules, techniques and challenges. In: 38th International Business Information Management Association (IBIMA) (11 2021)
2. Azerkovich, I.: Employing Wikipedia data for coreference resolution in Russian. In: Filchenkov, A., Pivovarova, L., Žižka, J. (eds.) Artificial Intelligence and Natural Language, pp. 107–112. Springer International Publishing, Cham (2018)
3. Chen, D., Fisch, A., Weston, J., Bordes, A.: Reading wikipedia to answer open-domain questions. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), vol. 1, pp. 1870–1879. ACM (Mar 2017)
4. Chicaiza, J., Bouayad-Agha, N.: Enabling a question-answering system for COVID using a hybrid approach based on wikipedia and Q/A Pairs. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds.) Intelligent Sustainable Systems, pp. 251–261. Springer Nature Singapore, Singapore (2022)
5. Chicaiza, J., Piedra, N., Lopez-Vargas, J., Tovar-Caro, E.: Domain categorization of open educational resources based on linked data. In: Klinov, P., Mouromtsev, D. (eds.) Knowledge Engineering and the Semantic Web, pp. 15–28. Springer International Publishing, Cham (2014)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献