System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We utilize derivative instruments to manage interest rate sensitivity. See note 6 of the notes to consolidated financial statements included in this report for additional information on derivatives used by us to manage interest rate risk. Our derivative instruments are intended as economic hedges but do not qualify for hedge accounting; consequently, the “mark-to-market” change in fair value of these derivative instruments is included in our operating results. Changes or shifts in the forward yield curve can significantly impact and have impacted the valuation of our derivatives, and in turn can significantly impact and have impacted our results of operations._Developing an effective strategy for dealing with movements in interest rates is complex, and no strategy can completely insulate us from risks associated with such fluctuations. Because many of our derivatives are not balance guaranteed to a particular pool of student loans and we may not elect to fully hedge our risk on a notional and/or duration basis, we are subject to the risk of being under or over hedged, which could result in material losses. In addition, our interest rate risk management activities could expose us to substantial mark-to-market losses if interest rates move in a materially different way than was expected based on the environment when the derivatives were entered into. As a result, our economic hedging activities may not effectively manage our interest rate sensitivity, may not have the desired beneficial impact on our results of operations or financial condition, and may cause volatility in our results of operations or have a material adverse impact on our business, financial condition, or results of operations._
Assistant: