Analyzing Film Adaptation through Narrative Alignment

November 07, 2023 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Tanzir Pial, Shahreen Salim, Charuta Pethe, Allen Kim, Steven Skiena arXiv ID 2311.04020 Category cs.CL: Computation & Language Citations 4 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 5 months ago
Abstract
Novels are often adapted into feature films, but the differences between the two media usually require dropping sections of the source text from the movie script. Here we study this screen adaptation process by constructing narrative alignments using the Smith-Waterman local alignment algorithm coupled with SBERT embedding distance to quantify text similarity between scenes and book units. We use these alignments to perform an automated analysis of 40 adaptations, revealing insights into the screenwriting process concerning (i) faithfulness of adaptation, (ii) importance of dialog, (iii) preservation of narrative order, and (iv) gender representation issues reflective of the Bechdel test.
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