In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

[Q]: The authors have recently made several connections between deep learning and tensor algebra. While their earlier works dealt with supervised learning, the current work analyzes generative models through the lens of tensor algebra.   The authors show propose a tensorial mixture model over local structures where the mixture components are expressed as tensor decompositions. They show that hierarchical tensor decomposition is exponentially more expressive compared to the shallow models.   The paper makes original contributions in terms of establishing expressivity of deep generative models. The connections with tensor algebra could lead to further innovations, e.g. in training algorithms.  However, the paper can be improved in two aspects:   (1) It will be nice if the authors make a connection between the algebraic view presented here with the geometric view presented by: 
[A]: en


[Q]: La aplicación de sistemas SCADA para la minería es algo interesante pero el trabajo solo se limita a mencionar las herramientas móviles y no existe un punto de comparación claro entre ellas. Tampoco queda claro el aporte específico de estas herramientas en un proceso minero real.  Existen problemas de consistencia en el resumen y la introducción. Las conclusiones no son suficientemente convincentes, además existen algunos problemas de redacción.
[A]: es


[Q]: Approaches like adaptive dropout also have the binary mask as a function of input to a neuron very similar to the proposed approach. It is not clear, even from the new draft, how the proposed approach differs to Adaptive dropout in terms of functionality. The experimental validation is also not extensive since comparison to SOTA is not included.
[A]:
en