Summarize the main points discussed in the following text about the different types of summarization techniques:

There are several different techniques and approaches to summarization, each with its own strengths and applications. One common method is extractive summarization, which involves identifying and extracting the most important sentences or phrases from a text and combining them to form a concise summary. This approach is often used for summarizing news articles, research papers, and other factual documents. In contrast, abstractive summarization involves generating entirely new sentences that capture the essence of the original text, rather than simply extracting existing phrases. This method is more challenging but can produce more coherent and readable summaries, especially for more complex or creative works. Query-based summarization is another approach, where the summary is tailored to a specific question or topic of interest, rather than attempting to capture the entire content of a text. This technique is useful for information retrieval systems and question-answering applications. Summarization can also be categorized based on the language or domain it is applied to, such as multi-lingual summarization for summarizing texts in multiple languages, or domain-specific summarization for specialized fields like legal or medical documents. Additionally, summarization can be performed at various levels of granularity, from summarizing individual sentences or paragraphs to summarizing entire books or collections of documents.
Summarize the main points discussed in the following text about the different types of summarization techniques:

There are several different techniques and approaches to summarization, each with its own strengths and applications. One common method is extractive summarization, which involves identifying and extracting the most important sentences or phrases from a text and combining them to form a concise summary. This approach is often used for summarizing news articles, research papers, and other factual documents. In contrast, abstractive summarization involves generating entirely new sentences that capture the essence of the original text, rather than simply extracting existing phrases. This method is more challenging but can produce more coherent and readable summaries, especially for more complex or creative works. Query-based summarization is another approach, where the summary is tailored to a specific question or topic of interest, rather than attempting to capture the entire content of a text. This technique is useful for information retrieval systems and question-answering applications. Summarization can also be categorized based on the language or domain it is applied to, such as multi-lingual summarization for summarizing texts in multiple languages, or domain-specific summarization for specialized fields like legal or medical documents. Additionally, summarization can be performed at various levels of granularity, from summarizing individual sentences or paragraphs to summarizing entire books or collections of documents.
user
The main points discussed are: 1) Extractive summarization involves identifying and extracting important sentences or phrases from a text to form a summary, often used for factual documents. 2) Abstractive summarization generates entirely new sentences to capture the essence of the text, producing more coherent summaries for complex works. 3) Query-based summarization tailors the summary to a specific question or topic of interest, useful for information retrieval systems. 4) Summarization can be categorized based on language or domain, such as multi-lingual or domain-specific summarization. 5) Summarization can be performed at various levels of granularity, from sentences to entire books or document collections.
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: Can you sum up what these former survivor players said about meeting Jeff Probst in a few sentences?

"Survivor: Island of the Idols" player Elaine Stott said that although she was nervous before she met the "Survivor" host, the fact that she was sitting in front of producers and Probst "didn't really matter to me." 

"I told dirty jokes, I flirted, I cussed, I made fun of myself. That's just how I am in general," Stott told Insider. "... I said, 'Jeff, you're just a man, you put your britches on just like I do.'" 

Freberg added that the interviewers just "tell you to start talking" instead of asking direct questions, and Probst sits there "trying to size you up and trying to be intimidating."

"You just need something funny to say, so I made it up on the spot," Freberg recalled. "... I look at Jeff and I go, 'My grandma's gonna freak the f--- out when she finds out I met you.'"

Freberg added that his joke "got a big laugh," so he was "off to a good start after that."
Response: When Elaine Stott was in front of Probst and producers her nervousness went away. Freberg said the producers didn't ask questions and he was told to just start talking. Jeff sized them up, but Freeberg came up with a funny joke from the start and that put them on good terms for the rest of the interview.

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.
