“…To do this, we formulate the problem as a text regression task, and use a Gaussian copula with probability integral transform to model the uniform marginals and their dependencies. Copula models (Schweizer and Sklar, 1983;Nelsen, 1999) are often used by statisticians (Genest and Favre, 2007;Masarotto and Varin, 2012) and economists (Chen and Fan, 2006) to study the bivariate and multivariate stochastic dependency among random variables, but they are very new to the machine learning (Ghahramani et al, 2012;Han et al, 2012;Xiang and Neville, 2013;Lopezpaz et al, 2013) and related communities (Eickhoff et al, 2013). To the best of our knowledge, even though the term "copula" is named for the resemblance to grammatical copulas in linguistics, copula models have not been explored in the NLP community.…”