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.

Ex Input:
 To remain consistent with experiments performed with LSTM's we use the morfessor for the subword tokenization in the Finnish Language. 
 Question: Is the LSTM baseline a sub-word model?

Ex Output:
Yes-no


Ex Input:
In phase 1 (also referred to as the “exploration” phase) the algorithm explores the state space through keeping track of previously visited states by maintaining an archive. During this phase, instead of resuming the exploration from scratch, the algorithm starts exploring from promising states in the archive to find high performing trajectories. 
 Question: How is trajectory with how rewards extracted?

Ex Output:
Extractive


Ex Input:
In light of this, we suggest that care is needed when applying graph embeddings in NLP pipelines, and work needed to develop robust methods to debias such embeddings. 
 Question: Do they propose any solution to debias the embeddings?

Ex Output:

Yes-no