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 the risk that various counterparties, including financial entities, will fail to perform. This creates risk in a number of areas, including with respect to our bank deposits and investments, foreign exchange risk management, insurance coverages, letters of credit, and for certain of our transactions, the receipt and holding of traveler payments and subsequent remittance of a portion of those payments to travel suppliers. As it relates to deposits, as of December 31, 2022, we held cash in bank depository accounts of approximately $3.8 billion and held term deposits of approximately $18 million. Additionally, majority-owned subsidiaries held cash of approximately $96 million and held term deposits of approximately $218 million. As it relates to foreign exchange, as of December 31, 2022, we were party to forward contracts with a notional value of approximately $2.8 billion, the fair value of which was a net asset of approximately $15 million. We employ forward contracts to hedge a portion of our exposure to foreign currency exchange rate fluctuations. At the end of the deposit term or upon the maturity of the forward contracts, the counterparties are obligated, or potentially obligated in the case of forward contracts, to return our funds or pay us net settlement values. If any of these counterparties were to liquidate, declare bankruptcy or otherwise cease operations, it may not be able to satisfy its obligations under these term deposits or forward contracts, our ability to recover losses or to access or recover our assets held may be limited by the counterparty’s liquidity or the applicable laws governing the insolvency or bankruptcy proceeding, and the receipt and remittance of payments via such counterparties would be severely limited or cease. In addition, we face significant credit risk and potential payment delays with respect to non-financial contract counterparties including our B2B and Vrbo partners, which may be exacerbated by economic downturns. The realization of any of these risks could have an adverse impact on our business and financial performance.
Assistant: