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: The pools of commercial loans that we may originate, securitize or acquire as asset-backed securities and for which we act as special servicer are structures commonly referred to as securitizations. As a result of the dislocation of the credit markets, and in anticipation of more extensive regulation, including regulations promulgated pursuant to the Dodd-Frank Act, the securitization industry crafted and continues to craft changes to securitization practices, including changes to representations and warranties in securitization transaction documents, new underwriting guidelines and disclosure guidelines. Pursuant to the Dodd-Frank Act, various federal agencies, including the SEC (collectively, “the agencies”) have promulgated regulations with respect to issues that affect securitizations. Pursuant to Regulation AB and other rules, issuers of registered asset-backed securities are subject to significant disclosure, review and reporting requirements. In addition, pursuant to rules adopted by the agencies, securitizers in both public and private securitization transactions are required to retain at least 5% of the risk associated with the securities, subject to certain exceptions, which we are subject to in our securitizations. These regulations, and other proposed regulations affecting securitization, could alter the structure of securitizations in the future, pose additional risks to our participation in future securitizations or reduce or eliminate the economic incentives for participating in future securitizations, increase the costs associated with our origination, securitization or acquisition activities, or otherwise increase the risks or costs of our doing business.
Assistant: