Teacher: 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].
Teacher: Now, understand the problem? If you are still confused, see the following 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.
Solution: es
Reason: This review is written in spanish. Hence, the label is 'es'.

Now, solve this instance: The paper is clearly written, and the claims are well-supported. The Related Work in particular is very thorough, and clearly establishes where the proposed work fits in the field. I had two main questions about the method: (1) phrases are mentioned in section 3.1, but only word representations are discussed. How are phrase representations derived? (2) There is no explicit connection between M^+ and M^- in the model, but they are indirectly connected through the tanh scoring function. How do the learned matrices compare to one another (e.g., is M^- like -1*M^+?)? Furthermore, what would be the benefits/drawbacks of linking the two together directly, by enforcing some measure of dissimilarity? Additionally, statistical significance of the observed improvements would be valuable. Typographical comments: - Line 220: "word/phase pair" should be "word/phrase pair" - Line 245: I propose an alternate wording: instead of "entities are translated to," say "entities are mapped to". At first, I read that as a translation operation in the vector space, which I think isn't exactly what's being described. - Line 587: "slightly improvement in F-measure" should be "slight improvement in F-measure" - Line 636: extraneous commas in citation - Line 646: "The most case" should be "The most likely case" (I'm guessing) - Line 727: extraneous period and comma in citation
Student:
en