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].

[EX Q]: Most dialog systems are based on chit-chat models. This paper explores goal-directed conversations, such as those that arise in booking a restaurant. While the methodology is rather thin, this is not the main focus of the paper. The authors provide creative evaluation protocols, and datasets. The reviewers liked the paper, and so does the AC. The paper will make a nice oral, on a topic that is largely explored but opening a direction that is quite novel.
[EX A]: en

[EX Q]: The topic of the paper, model-based RL with a learned model, is important and timely. The paper is well written. I feel that the presented results are too incremental. Augmenting the frame prediction network with another head that predicts the reward is a very sensible thing to do. However neither the methodology not the results are novel / surprising, given that the original method of [Oh et al. 2015] already learns to successfully increment score counters in predicted frames in many games.  I’m very much looking forward to seeing the results of applying the learned joint model of frames and rewards to model-based RL as proposed by the authors.
[EX A]: en

[EX Q]: El trabajo presenta una metodología para abordar al complejidad de implementar reglas de negocios sin realizar cambios en la funcionalidad base de un sistema.  Propone una metodología clara basada en documentación mediante plantillas para manejar y analizar el impacto de realizar la implementación de una regla de negocio vía orientación al aspecto.  Las razones presentadas para indicar que el enfoque OA para encapsular la conexión entre las reglas de negocio y la funcionalidad base no es una tarea trivial, son generales y deberían ser abordadas con mayor profundidad.  No presenta evidencias formales de que la utilización de las plantillas propuestas resuelvan de forma concreta un problema.  Se sugiere presentar un problema resuelto por medio de la herramienta que se encuentra en desarrollo que maneje automáticamente las plantillas. En su defecto, demostrar la aplicación a un problema específico.
[EX A]:
es