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: To show the effectiveness of our approach, we show results on the SICK dataset BIBREF1, a common benchmark for logic-based NLI, and find MonaLog to be competitive with more complicated logic-based approaches (many of which require full semantic parsing and more complex logical machinery). 
 Question: Do they beat current state-of-the-art on SICK?

SOLUTION: No

PROBLEM: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12 . 
 Question: What is used a baseline?

SOLUTION: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12

PROBLEM: The Title-to-Story system is a baseline, which generates directly from topic. 
 Question: What are the baselines?

SOLUTION:
Title-to-Story system