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: Our consolidated financial statements are prepared in conformity with GAAP. From time to time, we are required to adopt new accounting standards issued by the Financial Accounting Standards Board (the "FASB"). The required adoption of future accounting standards may adversely affect our reported results of operations and financial condition. In addition, the required adoption of new accounting standards may result in significant costs associated with the initial implementation and ongoing compliance. In August 2018, the FASB issued final guidance on targeted improvements to the accounting for long-duration insurance contracts. The guidance became effective on January 1, 2023. We expect the adoption of this standard will have a material impact on our consolidated financial statements and disclosures. We expect that the most significant impact on the January 1, 2021 transition date (the "Transition Date") will be the requirement to update the discount rate assumption used to determine the value of the liability for future policy benefits to the upper-medium grade fixed-income corporate instrument yield matched to the duration of our liabilities. We expect such requirement to result in a material decrease to accumulated other comprehensive income within our total shareholders' equity balance. After the Transition Date, we will be required to update the discount rate each reporting period with changes recorded in accumulated other comprehensive income and we expect that this change could, from time to time, have a material impact on accumulated other comprehensive income. We also expect the adoption of this standard to change the pattern of future profit emergence following the Transition Date.
Assistant: