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: As a baseline for the RNN models, we apply a uni-directional RNN which predicts the relation after processing the whole sentence. 
 Question: Which variant of the recurrent neural network do they use?

SOLUTION: uni-directional RNN

PROBLEM: after a shared CLWE space has been induced, the task is to retrieve target language translations for a test set of source language words retrieve target language translations for a test set of source language words BLI is cast as a ranking task in our BLI setup with only one correct translation for each “query” word, MAP is equal to mean reciprocal rank (MRR) 
 Question: How does BLI measure alignment quality?

SOLUTION: we use mean average precision (MAP) as the main evaluation metric

PROBLEM: Slot Filling is an information extraction task which has become popular in the last years BIBREF3 . The task aims at extracting information about persons, organizations or geo-political entities from a large collection of news, web and discussion forum documents. 
 Question: What is the task of slot filling?

SOLUTION:
The task aims at extracting information about persons, organizations or geo-political entities from a large collection of news, web and discussion forum documents.