In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.

Example Input: We thus try to remove the language-specific information from the representations by centering the representations of sentences in each language so that their average lies at the origin of the vector space. 
 Question: Are language-specific and language-neutral components disjunctive?
Example Output: Yes-no

Example Input: For our experiment we decided to use the Europarl dataset, using the data from the WMT11 . 
 Question: Are any experiments performed to try this approach to word embeddings?
Example Output: Yes-no

Example Input: We compare the predictions of logistic regression models based on unigram bag-of-words features (BOW), sentiment signals (SENT), the linguistic features from our earlier analyses (LING), and combinations of these features. 
 Question: What predictive model do they build?
Example Output:
Extractive