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: Because we are not a depository institution, we do not benefit from a federal exemption to state mortgage banking, loan servicing or debt collection licensing and regulatory requirements. We must comply with state licensing requirements and varying compliance requirements in all 50 states and the District of Columbia, and we are sensitive to regulatory changes that may increase our costs through stricter licensing laws, disclosure laws or increased fees or that may impose conditions to licensing that we or our personnel are unable to meet. In addition, if we enter new markets, we may be required to comply with new laws, regulations and licensing requirements. Further, we are subject to periodic examinations by state regulators, which can result in refunds to borrowers of certain fees earned by us, and we may be required to pay substantial penalties imposed by state regulators due to compliance errors. In the past we have been subject to inquiries from, and in certain instances have entered into settlement agreements with, state regulators that had the power to revoke our license or make our continued licensure subject to compliance with a consent order. For example, in 2019, we entered into a settlement agreement with the California Department of Business Oversight relating to findings in supervisory examinations concerning per diem interest charges and escrow trust reconciliations. As part of the settlement, we agreed to pay a penalty and to undertake certain remedial actions and procedures. Future state legislation and changes in existing regulation may significantly increase our compliance costs or reduce the amount of ancillary revenues, including late fees that we may charge to borrowers. This could make our business cost-prohibitive in the affected state or states and could materially affect our business.
Assistant: