A deep generative framework for paraphrase generation
Ankush Gupta, Arvind Agarwal, et al.
AAAI 2018
Risk culture is arguably a leading contributor to risk outcomes of a firm. We define risk culture indicators based on unstructured news data to develop a qualitative assessment of risk culture of banks. For US banks participating in an annual stress test program, we conduct a supervised learning ridge regression analysis to identify the most significant features to evaluate banks’ risk culture characteristics. These features are used for unsupervised clustering to determine the high to low quality of risk culture. The distinct groups obtained from clustering define and allow monitoring changes in the quality of risk culture in banks.
Ankush Gupta, Arvind Agarwal, et al.
AAAI 2018
Vikas Agarwal, Chris Butler, et al.
CLOUD 2022
Vivek Iyer, Arvind Agarwal, et al.
OM 2020
Balaji Ganesan, Avirup Saha, et al.
ISWC-Posters 2020