MovieSum: An Abstractive Summarization Dataset for Movie Screenplays (2024.findings-acl)
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| Challenge: | Movie screenplay summarization requires an understanding of long input contexts and elements unique to movies. |
| Approach: | They propose a dataset for movie screenplay summarization that includes movie screenplayers accompanied by their Wikipedia plot summaries. |
| Outcome: | The proposed dataset includes 2200 movie screenplays accompanied by their Wikipedia plot summaries. |
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| Challenge: | Recent attempts at screenplay summarization focus on fine-tuning transformer-based pre-trained models, but these models often fall short in capturing long-term dependencies and latent relationships. |
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| Challenge: | Movie screenplays have a distinct narrative structure. |
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| Challenge: | Existing biases in multi-lingual datasets are limiting the use of multilingual data in document summarization tasks. |
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