TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
PROBLEM: Since the training data consists only of utterance-denotation pairs, the ranker is trained to maximize the log-likelihood of the correct answer $z$ by treating logical forms as a latent variable The role of the ranker is to score the candidate logical forms generated by the parser; at test time, the logical form receiving the highest score will be used for execution. The ranker is a discriminative log-linear model over logical form $y$ given utterance $x$ :  
 Question: How does the model compute the likelihood of executing to the correction semantic denotation?

SOLUTION: By treating logical forms as a latent variable and training a discriminative log-linear model over logical form y given x.

PROBLEM: In Table TABREF1, we summarize the quantitative results of the above previous studies. In Table TABREF1, we summarize the quantitative results of the above previous studies. 
 Question: What is the accuracy reported by state-of-the-art methods?

SOLUTION: Answer with content missing: (Table 1)
Previous state-of-the art on same dataset: ResNet50 89% (6 languages), SVM-HMM 70% (4 languages)

PROBLEM: INSIGHT 1: Political handles are more likely to engage in profile changing behavior as compared to their followers.  We analyze the trends in Figure FIGREF12 and find that the political handles do not change their usernames at all. This is in contrast to the trend in Figure FIGREF15 where we see that there are a lot of handles that change their usernames multiple times.  INSIGHT 3: Political handles tend to make new changes related to previous attribute values. However, the followers make comparatively less related changes to previous attribute values. 
 Question: How do profile changes vary for influential leads and their followers over the social movement?

SOLUTION:
Influential leaders are more likely to change their profile attributes than their followers; the leaders do not change their usernames, while their followers change their usernames a lot; the leaders  tend to make new changes related to previous attribute values, while the followers make comparatively less related changes to previous attribute values.