TASK DEFINITION: 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.
PROBLEM: We draw on a recently released corpus of state speeches delivered during the annual UN General Debate that provides the first dataset of textual output from states that is recorded at regular time-series intervals and includes a sample of all countries that deliver speeches BIBREF11 .  
 Question: Which dataset do they use?

SOLUTION: corpus of state speeches delivered during the annual UN General Debate

PROBLEM: We have evaluated the output of Nefnir against a reference corpus of 21,093 tokens and their correct lemmas.

Samples for the reference corpus were extracted from two larger corpora, in order to obtain a diverse vocabulary: 
 Question: Which dataset do they use?

SOLUTION: a reference corpus of 21,093 tokens and their correct lemmas

PROBLEM: A gated neural network is employed over character embeddings to generate distributed representations of candidate words, which are sent to a LSTM model. 
 Question: Which neural network architectures are employed?

SOLUTION:
gated neural network