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.

Ex Input:
We train MaLOPa on the concantenation of training sections of all seven languages. 
 Question: How many languages have this parser been tried on?

Ex Output:
seven


Ex Input:
We conducted an experiment to determine whether we could maintain or improve classifier performances by applying the following three-tiered feature elimination approach:

Reduction We reduced the dataset encoded for each class by eliminating features that occur less than twice in the full dataset.

Selection We iteratively applied Chi-Square feature selection on the reduced dataset, selecting the top percentile of highest ranked features in increments of 5 percent to train and test the support vector model using a linear kernel and 5-fold, stratified cross-validation.

Rank We cumulatively plotted the average F1-score performances of each incrementally added percentile of top ranked features. We report the percentile and count of features resulting in the first occurrence of the highest average F1-score for each class. 
 Question: What are the three steps to feature elimination?

Ex Output:
Reduction Selection Rank


Ex Input:
The corpus is freely available at the following link 
 Question: Is this dataset publicly available?

Ex Output:

Yes