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.

Q: After using Kytea, Japanese texts are applied LSW algorithm to replace OOV words by their synonyms.  
 Question: Are synonymous relation taken into account in the Japanese-Vietnamese task?

A: Yes-no
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Q: This section introduces our probabilistic model that infers keyword expectation and trains the target model simultaneously. 
 Question: What type of classifiers are used?

A: Extractive
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Q: As we show below, STransE performs better than the SE and TransE models and other state-of-the-art link prediction models on two standard link prediction datasets WN18 and FB15k, so it can serve as a new baseline for KB completion. 
 Question: What datasets are used to evaluate the model?

A:
Abstractive
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