Summary of Discograms: Enhancing Movie Screen-play Summarization Using Movie Character-aware Discourse Graph, by Maitreya Prafulla Chitale et al.
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
by Maitreya Prafulla Chitale, Uday Bindal, Rajakrishnan Rajkumar, Rahul Mishra
First submitted to arxiv on: 18 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers tackle the challenging task of summarizing movie screenplays, which differ from standard document summarization due to their length, complex character interactions, and nuanced contextual relationships. Recent attempts at screenplay summarization using pre-trained transformer-based models have limitations in capturing long-term dependencies and latent relationships, often resulting in incomplete summaries. To overcome these challenges, the authors introduce DiscoGraMS, a novel approach that represents movie scripts as a character-aware discourse graph (CaD Graph). This graph-based model aims to preserve all salient information, providing a more comprehensive representation of the screenplay’s content. The authors also explore a baseline method combining the CaD Graph with the corresponding movie script through late fusion of graph and text modalities, showing initial promising results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Screenplays are hard to summarize because they’re long and have lots of characters talking and scenes happening. Computers struggle to understand these relationships and nuances. Some computers try to do this task by using special models that were already trained on other things. But these models don’t always get it right, especially when it comes to keeping track of important details. To fix this problem, scientists created a new way to represent movie scripts called DiscoGraMS. It’s like a map of the story that shows how characters relate to each other and what happens in different scenes. This approach might help computers summarize screenplays more accurately. |
Keywords
» Artificial intelligence » Discourse » Summarization » Transformer
