Summarize the key points about extractive and abstractive summarization approaches discussed in the following text:

There are two main approaches to text summarization: extractive and abstractive. Extractive methods identify and extract the most salient sentences or phrases from the source text to form the summary. These techniques are generally more straightforward to implement and can produce coherent summaries, but they are limited to using only the exact phrasing found in the original text. In contrast, abstractive summarization techniques aim to generate entirely new sentences that capture the core meaning of the source material. This approach allows for more flexible and concise summaries, but it is more complex and prone to errors or incoherence. Abstractive methods often involve advanced natural language generation models that can rephrase and restructure information. While extractive summarization has been more widely adopted due to its relative simplicity, recent advancements in deep learning and language models have made abstractive approaches more viable and promising for producing high-quality, human-like summaries.
Summarize the key points about extractive and abstractive summarization approaches discussed in the following text:

There are two main approaches to text summarization: extractive and abstractive. Extractive methods identify and extract the most salient sentences or phrases from the source text to form the summary. These techniques are generally more straightforward to implement and can produce coherent summaries, but they are limited to using only the exact phrasing found in the original text. In contrast, abstractive summarization techniques aim to generate entirely new sentences that capture the core meaning of the source material. This approach allows for more flexible and concise summaries, but it is more complex and prone to errors or incoherence. Abstractive methods often involve advanced natural language generation models that can rephrase and restructure information. While extractive summarization has been more widely adopted due to its relative simplicity, recent advancements in deep learning and language models have made abstractive approaches more viable and promising for producing high-quality, human-like summaries.
user
The text discusses two main approaches to text summarization: extractive and abstractive. Extractive methods identify and extract salient sentences or phrases from the source text, producing coherent but verbatim summaries. Abstractive approaches generate entirely new sentences to capture the core meaning, allowing for more concise and flexible summaries but with greater complexity and potential for errors. While extractive summarization has been more widely used, advancements in deep learning and language models have made abstractive methods more promising for producing high-quality, human-like summaries.
assistant
Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: In 2-3 sentences, summarize these paragraphs about the Shanghai Dragons.

Here are the paragraphs I'm referring to.

Around this time last year, the professional Overwatch team Shanghai Dragons had just finished up a history-making 0-40 season. At the time, nobody would have expected that just one year later they’d be leaving the league’s top three teams in a heap of black-and-blue bodies on the ground. Maybe they should change their name to the Shanghai Phoenixes.

Overwatch League season two’s third stage culminated in a mini-tournament over the weekend with hundreds of thousands of dollars on the line. Shanghai Dragons came out on top. They had the hardest possible path to this championship: They barely made it into the stage finals as the eighth seed, and then they took out the league’s three best teams—New York Excelsior, Vancouver Titans, and San Francisco Shock—back to back to back.
Response: Last season, the Shanghai Dragons finished a shockingly awful 0-40 season. This year, the Dragons just won a mini-tournament against some of the league's top teams. The Dragons entered the stage finals as the eighth seed before knocking out the Excelsior, Titans, and Shock in three straight games.

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
