Task: Language Identification
Input (Spanish, English): This paper proposed a very interesting idea of using cognitive features for sentiment analysis and sarcasm detection. More specifically, the eye-movement patterns of human annotators are recorded to derive a new set of features. The authors claim that this is the first work to include cognitive features into the NLP community.   Strength:  1. The paper is generally well written and easy to follow 2. Very interesting idea which may inspire research in other NLP tasks.  Weakness: 1. The motivation of using cognitive features for sentiment analysis is not very well justified. I can imagine these features may help reflect the reading ease, but I don't see why they are helpful in detecting sentiment polarities. 2. The improvement is marginal after considering cognitive features by comparing Sn+Sr+Gz with Sn+Sr. 3. Although the authors discussed about the feasibility of the approach in Section 7, but I'm not convinced, especially about the example given in section 7.2, I don't see why this technique is helpful in such a scenario.
Output (English): en