What are some examples of extractive summarization in use?
Extractive summarization involves selecting key sentences from a text to create a summary. Examples include news article summarization, academic paper summarization, and summarizing customer reviews.
Can you give me a specific example of how it's used in news articles?
Sure! News agencies often use extractive summarization to highlight the main points of a story, allowing readers to quickly grasp the essential information without reading the entire article.
What tools or algorithms are commonly used for extractive summarization?
Common tools include TextRank, LexRank, and various machine learning models that identify important sentences based on their relevance and context.
How does extractive summarization differ from abstractive summarization?
Extractive summarization selects existing sentences, while abstractive summarization generates new sentences to convey the main ideas.
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