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 are exposed to foreign currency exchange risk inherent in our anticipated purchases and expenses denominated in currencies other than the U.S. dollar. We transact business in the following foreign currencies; Mexican pesos, Malaysian ringgit, Singapore dollar, Chinese yuan, and the Canadian dollar. Our primary currency risks result from fluctuations in the value of the Mexican peso and to a lesser extent the Chinese yuan. To mitigate these risks, we enter into forward foreign currency exchange contracts to exchange U.S. dollars for these foreign currencies. The extent to which we use forward foreign currency exchange contracts is periodically reviewed in light of our estimate of market conditions and the terms and length of anticipated requirements. The use of derivative financial instruments allows us to reduce our exposure to the risk that the eventual net cash outflow resulting from funding the expenses of the foreign operations will be materially affected by changes in exchange rates. These contracts generally expire in a year or less. Any changes in the fair values of our forward foreign currency exchange contracts are reflected in current period earnings. Based upon our forward foreign currency exchange contracts related to these currencies, an increase of 10% in exchange rates at March 31, 2021 would have increased our operating expenses by approximately $3,932,000. During fiscal 2021 and fiscal 2020, a gain of $7,713,000 and a loss of $6,491,000, respectively, was recorded due to the change in the value of the forward foreign currency exchange contracts subsequent to entering into the contracts. In addition, we recorded a gain of $9,893,000 and a loss of $11,710,000 in connection with the remeasurement of foreign currency-denominated lease liabilities during fiscal 2021 and fiscal 2020, respectively.
Assistant: