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].

Let me give you an example: Este articulo no es un articulo de investigacion, ya que solo muestra como programar un robot mediante la herramienta de logica difusa. Este tema ya ha sido propuesto como solucion en navegacion de robots.
The answer to this example can be: es
Here is why: This review is written in spanish. Hence, the label is 'es'.

OK. solve this:
- General Discussion: This paper extends Zhou and Xu's ACL 2015 approach to semantic role labeling based on deep BiLSTMs. In addition to applying recent best practice techniques, leading to further quantitative improvements, the authors provide an insightful qualitative analysis of their results. The paper is well written and has a clear structure. The authors provide a comprehensive overview of related work and compare results to a representative set of other SRL models that hace been applied on the same data sets. I found the paper to be interesting and convincing. It is a welcome research contribution that not only shows that NNs work well, but also analyzes merits and shortcomings of an end-to-end learning approach. - Strengths: Strong model, insightful discussion/error analysis. - Weaknesses: Little to no insights regarding the SRL task itself.
Answer:
en