Author:
Bhadani Saumya,Verma Ishan,Dey Lipika
Publisher
Springer International Publishing
Reference19 articles.
1. Dasgupta, T., Dey, L., Dey, P., Saha, R.: A framework for mining enterprise risk and risk factors from news documents. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pp. 180–184 (2016)
2. Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by Gibbs sampling. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pp. 363–370. Association for Computational Linguistics (2005)
3. Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 25, 1189–1232 (2001)
4. Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1746–1751. Association for Computational Linguistics, October 2014
5. Kogan, S., Levin, D., Routledge, B.R., Sagi, J.S., Smith, N.A.: Predicting risk from financial reports with regression. In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 272–280. Association for Computational Linguistics (2009)
Cited by
4 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