TASK DEFINITION: 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].
PROBLEM: Los comentarios aparecen en el archivo adjunto

SOLUTION: es

PROBLEM: Presenta un framework para el trabajo de MVC con PHP de forma simple. Podria ser un poco mas tecnico en cuanto a elementos de configuracion y agregar comparacion con otros frameworks existentes para entender por que CakePHP y no otra alternativa.

SOLUTION: es

PROBLEM: - Strengths: The paper proposes an end-to-end neural model for semantic graph parsing, based on a well-designed transition system. The work is interesting, learning semantic representations of DMRS, which is capable of resolving semantics such as scope underspecification. This work shows a new scheme for computational semantics, benefiting from an end-to-end transition-based incremental framework, which resolves the parsing with low cost. - Weaknesses: My major concern is that the paper only gives a very common introduction for the definition of DMRS and EP, and the example even makes me a little confused because I cannot see anything special for DMRS. The description can be a little more detailed, I think. However, upon the space limitation, it is understandable. The same problem exists for the transition system of the parsing model. If I do not have any background of MRS and EP, I can hardly learn something from the paper, just seeing that this paper is very good. - General Discussion: Overall, this paper is very interesting to me. I like the DMRS for semantic parsing very much and like the paper very much. Hope that the open-source codes and datasets can make this line of research being a hot topic.

SOLUTION:
en