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: New or changing laws, regulations, policy and standards relating to corporate governance and public disclosure, including SEC and Nasdaq regulations, domestic or international tax legislation and the implementation of significant changes in the United States Generally Accepted Accounting Principles (“GAAP”), present challenges due to complexities, assumptions and judgements required to implement. We apply judgments based on our understanding, interpretation and analysis of the relevant facts, circumstances, historical experience and valuations, as appropriate. As a result, actual amounts could differ from those estimated at the time the financial statements are issued. In addition, implementation may change the financial accounting or reporting standards that govern the preparation of our financial statements or authoritative entities could reverse their previous interpretations or positions on how various financial accounting or reporting standards should be applied. These changes may be difficult to predict and implement and could materially or otherwise impact how we prepare and report our estimates, uncertainties, financial statements, operating results and financial condition. Our efforts to comply with evolving laws, regulations, accounting policies and standards have resulted in, and are likely to continue to result in, increased general and administrative expenses and management time and attention from revenue-generating activities to compliance activities and may have an adverse effect on our financial statements, including cash flows.
Assistant: