This article introduces a new dataset of 100 movie scripts with key scenes annotated by humans and proposes a two-stage model, SELECT & SUMM, which first identifies key scenes and then generates summaries using only those. The approach outperforms previous models in accuracy and efficiency, making movie script summarization more scalable and informative.
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How Artificial Intelligence Learns to Summarize Movies Like a Human
New dataset of 100 movie scripts with key scenes annotated by humans and SELECT & SUMM summarization model to generate scalable and accurate summaries. Technology company specialized in innovative solutions.
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