Summarize the main factors that influence the choice of text summarization technique for a given application or use case:

The choice of text summarization technique for a given application or use case depends on several key factors. These include:

1. Text characteristics: The nature of the text, such as its length, complexity, and writing style, can significantly influence the choice of summarization technique. Longer and more complex texts may require more advanced techniques like abstractive summarization or topic modeling, while shorter and simpler texts may be suitable for extractive methods.

2. Summary requirements: The desired characteristics of the summary, such as its length, level of detail, and purpose (e.g., informative, indicative, or critical), can determine the most appropriate summarization technique. Abstractive methods may be better suited for concise, high-level summaries, while extractive techniques can provide more detailed summaries.

3. Domain and context: The specific domain or context in which the summarization is being applied can also play a role. Certain techniques may be more effective or appropriate for particular domains, such as scientific literature, news articles, or legal documents.

4. Data availability: The availability of high-quality training data, such as text-summary pairs or annotated corpora, can influence the choice of technique. Neural network-based methods like seq2seq models typically require large amounts of training data, while extractive or graph-based methods may be more suitable when training data is limited.

5. Computational resources: The computational resources available, such as processing power and memory, can also be a factor. Some techniques, like neural network-based models, may be more computationally intensive and require significant hardware resources.

6. Interpretability and explainability: In certain applications, the interpretability and explainability of the summarization process may be crucial, favoring techniques that are more transparent or interpretable, such as extractive or graph-based methods.

Ultimately, the choice of text summarization technique involves carefully considering these factors and selecting the approach that best aligns with the specific requirements and constraints of the application or use case.
Summarize the main factors that influence the choice of text summarization technique for a given application or use case:

The choice of text summarization technique for a given application or use case depends on several key factors. These include:

1. Text characteristics: The nature of the text, such as its length, complexity, and writing style, can significantly influence the choice of summarization technique. Longer and more complex texts may require more advanced techniques like abstractive summarization or topic modeling, while shorter and simpler texts may be suitable for extractive methods.

2. Summary requirements: The desired characteristics of the summary, such as its length, level of detail, and purpose (e.g., informative, indicative, or critical), can determine the most appropriate summarization technique. Abstractive methods may be better suited for concise, high-level summaries, while extractive techniques can provide more detailed summaries.

3. Domain and context: The specific domain or context in which the summarization is being applied can also play a role. Certain techniques may be more effective or appropriate for particular domains, such as scientific literature, news articles, or legal documents.

4. Data availability: The availability of high-quality training data, such as text-summary pairs or annotated corpora, can influence the choice of technique. Neural network-based methods like seq2seq models typically require large amounts of training data, while extractive or graph-based methods may be more suitable when training data is limited.

5. Computational resources: The computational resources available, such as processing power and memory, can also be a factor. Some techniques, like neural network-based models, may be more computationally intensive and require significant hardware resources.

6. Interpretability and explainability: In certain applications, the interpretability and explainability of the summarization process may be crucial, favoring techniques that are more transparent or interpretable, such as extractive or graph-based methods.

Ultimately, the choice of text summarization technique involves carefully considering these factors and selecting the approach that best aligns with the specific requirements and constraints of the application or use case.
user
The main factors that influence the choice of text summarization technique include text characteristics (length, complexity, writing style), summary requirements (length, detail, purpose), domain and context, data availability for training, computational resources, and the need for interpretability and explainability. Careful consideration of these factors helps select the most appropriate technique that aligns with the specific requirements and constraints of the application or use case.
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: Sum up this intro Seoul for me in just one sentence: 

Seoul is an ultra-modern city filled with sleek high-rises and time-tested palaces, tempting street food vibrant shopping districts and much more. 

Whether you want to see the latest K-pop sensation, take a late-night food and drink tour, or find serenity in a spa or temple, South Korea’s capital has something to offer 24/7. Here are the best things to do in Seoul.

Taste the street food at Gwangjang Market
Street food in Seoul is beloved for its spice, variety and affordability, and there’s no better place to try it than at Gwangjang Market. Dating from the early 20th century, this covered market has gained a reputation among foodies for having some of the country’s best street snacks. 

Start with an order of tteokbokki (stir-fried rice cakes in a bright orange spicy sauce), followed by a couple of mandu (Korean dumplings) and a pajeon (savory green onion pancake). For dessert, try hotteok (a pancake filled with brown sugar and cinnamon) or bungeoppang (a fish-shaped pastry filled with sweet red bean paste). Then do it all over again.
Response: Seoul has something to do all the time, including lots of beloved street food like mandu and pajeon.

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.
