Summarization reduces a longer text into a shorter one, while discarding less important information in the process. Making a universal judgement is very difficult, since the answer is highly dependent on the domain of the text, the target audience, and the goal of the summary itself. The NLP field is still struggling to handle sizable documents.
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Why Text Summarization Is Still HardSummarization is more than text-to-textExtraction is naive, abstraction is ungroundedNLP is still struggling with long documentsHow companies tackle summarizationBeyond text: audio and video summariesConclusion1 Comment
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