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: Write a summary of the information about Charlie McCarthy found in this article. 

Charlie McCarthy

Charlie McCarthy is perhaps the most famous ventriloquist's dummy in American history. Charlie, the creation of popular actor-ventriloquist Edgar Bergen (1903–1978), was a wise-for-his-years adolescent. Garbed in top hat and monocle (one round lens serving to correct vision, instead of the usual two-lensed glasses), he endlessly flirted with females and spouted wise-cracks to Bergen, his "guardian." Even though he was carved from wood, Bergen made McCarthy seem so authentic that audiences came to view the dummy as a real person.

Bergen conjured up McCarthy while still in high school and had him built at a cost of $35. The pair first teamed up in vaudeville (see entry under 1900s—Film and Theater in volume 1), then performed on radio and in films. Bergen added two additional dummies to his act: hayseed Mortimer Snerd and spinster Effie Klinker. (A hayseed is an unsophisticated country person; a spinster, an unmarried woman beyond the usual age of marrying.) Although both were popular, neither was as beloved as Charlie McCarthy.

In 1937, Bergen earned a special Academy Award for creating Charlie. The special wooden Oscar presented to Bergen had a movable jaw, just like Charlie's. He influenced countless ventriloquists and puppeteers for generations to come, including Jim Henson (1936–1990), of Muppets (see entry under 1970s—TV and Radio in volume 4) and Sesame Street (see entry under 1970s—TV and Radio in volume 4) fame, who dedicated his feature film The Muppet Movie (1979) to Bergen. Bergen willed Charlie McCarthy to the Smithsonian Institution in Washington, D.C.
Response: Many consider Charlie McCarthy, the creation of popular actor-ventriloquist Edgar Bergen (1903–1978) to be the most famous American ventriloquist's dummy. Known for wisecracks, his ever-present top hat and monocle, and his flirtatious nature, McCarthy, as a result of Edgar Bergen’s artistry, seem so authentic that people thought of him as a real person.
McCarthy came into existence while Bergan was in high school. The duo performed in vaudeville, radio, and in films. In 1937, Bergen earned a special, wooden Oscar Academy Award for creating Charlie. Among the artists influenced by Charlie McCarthy was Muppets creator Jim Henson. After Bergen’s death, Charlie McCarthy went to live at the Smithsonian Institution in Washington, D.C.

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.

Write a summary of the key points about summarization techniques discussed in the following text:

Text summarization, also referred to as text abstraction or summary extraction, is the process of creating a concise and precise distillation of a large body of text. Its purpose is to provide an abridged version that captures the essential information found in the original text. Summarization techniques can be broadly classified into two categories: extraction-based and abstraction-based.

Extraction-based summarization involves identifying and extracting the most salient sentences or phrases from the original text and combining them to form a summary. Common methods include term frequency analysis, keyword extraction, and sentence scoring algorithms that rank sentences based on features like position, length, and keyword presence.

In contrast, abstraction-based summarization aims to generate a new, coherent summary by interpreting and rewriting the key concepts in the original text. This approach often employs advanced natural language processing techniques like semantic analysis, language generation, and text compression. Abstraction-based methods can capture nuances and restate information in a more concise manner, but they are generally more complex and computationally intensive than extraction-based techniques.

Both extraction-based and abstraction-based summarization methods have their strengths and limitations. Extraction-based methods are faster and simpler but may result in redundant or incoherent summaries. Abstraction-based methods can produce more coherent and readable summaries but require more sophisticated algorithms and linguistic resources. Many modern summarization systems combine elements of both approaches to leverage their respective advantages.
user
Text summarization is the process of creating a concise version of a larger body of text, capturing its essential information. There are two main techniques: extraction-based, which identifies and extracts salient sentences or phrases from the original text, and abstraction-based, which generates a new summary by interpreting and rewriting key concepts. Extraction-based methods are faster but may result in redundant or incoherent summaries, while abstraction-based methods produce more coherent summaries but are more complex. Many modern systems combine both approaches to leverage their advantages.
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