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.

Q: Suppose there are INLINEFORM0 mentions in documents on average, among these global models, NCEL not surprisingly has the lowest time complexity INLINEFORM1 since it only considers adjacent mentions, where INLINEFORM2 is the number of sub-GCN layers indicating the iterations until convergence. 
 Question: Do they only use adjacent entity mentions or use more than that in some cases (next to adjacent)?

A: NCEL considers only adjacent mentions.
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Q: In addition, we note that our approach can still lead to erroneous facts or even hallucinations. An interesting perspective might be to further constrain the model on the data structure in order to prevent inaccurate of even contradictory descriptions. 
 Question: What future possible improvements are listed?

A: rther constrain the model on the data structure in order to prevent inaccurate of even contradictory descriptions
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Q:  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?

A:
Yes
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