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.

Input: Consider Input: In case of polysemous words, only the first word sense (usually the most common) is taken into account. 
 Question: How do they handle polysemous words in their entity library?

Output: only the first word sense (usually the most common) is taken into account


Input: Consider Input: The input for both tasks consists of news articles in free-text format, collected from 36 propagandist and 12 non-propagandist news outlets and then annotated by professional annotators.  
 Question: What dataset was used?

Output:  news articles in free-text format


Input: Consider Input: System description ::: Architecture The components involved in the process are: QnAMaker Portal: This is the Graphical User Interface (GUI) for using QnAMaker.  QnaMaker Management APIs: This is used for the extraction of Question-Answer (QA) pairs from semi-structured content.  Azure Search Index: Stores the KB with questions and answers as indexable columns, thus acting as a retrieval layer. QnaMaker WebApp: Acts as a layer between the Bot, Management APIs, and Azure Search Index.  Bot: Calls the WebApp with the User's query to get results. 
 Question: What components is the QnAMaker composed of?


Output: QnAMaker Portal QnaMaker Management APIs Azure Search Index QnaMaker WebApp Bot