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 rely heavily on internet search engines, such as Google, through the purchase of travel-related keywords and through organic search, to generate a significant portion of the traffic to our websites and the websites of our affiliates. Search engines frequently update and change the logic that determines the placement and display of results of a user’s search, such that the placement or cost of links to our websites and those of our affiliates can be negatively affected. In addition, a significant amount of traffic is directed to our websites and those of our affiliates through participation in pay-per-click and display advertising campaigns on search engines, including Google, and travel metasearch websites, including Kayak, TripAdvisor and trivago. Pricing and operating dynamics for these traffic sources can change rapidly, both technically and competitively. Moreover, a search or metasearch engine could, for competitive or other purposes, alter its search algorithms or display of results which could cause a website to place lower in search query results or inhibit participation in the search query results. In particular, Google has in the past, and may continue to in the future, change its algorithms or results in a manner that has negatively affected the search engine ranking, paid and unpaid, of our websites and the websites of our affiliates and those of our third-party distribution partners, which has adversely impacted our business and financial performance. Google has also increasingly added its own travel search functionality and content at the expense of traditional paid listings and organic search results, which may continue to reduce the amount of traffic to our websites or those of our affiliates. If Google or other search or metasearch companies continue to pursue these or similar strategies, which is out of our control, or we do not successfully manage our paid and unpaid search strategies, we could face a significant decrease in traffic to our websites and/or increased costs related to replacing unpaid traffic with paid traffic.
Assistant: