What are the different summarization techniques in AI?

What are the different summarization techniques in AI?

There are two main types of summarization techniques: extractive and abstractive summarization. Extractive summarization selects key sentences from the text, while abstractive summarization generates new sentences to convey the main ideas.

Can you give examples of each technique?

Sure! For extractive summarization, tools like TextRank or LexRank are commonly used. An example of abstractive summarization is the use of models like BERT or GPT to create a summary that paraphrases the original text.

Which technique is generally more effective?

It depends on the context. Extractive summarization is often more straightforward and retains original phrasing, while abstractive summarization can provide more coherent and concise summaries but may require more advanced models.

Are there any limitations to these techniques?

Yes, extractive methods may miss important context, while abstractive methods can sometimes generate inaccurate or irrelevant information.