The Role of Character Attribution in Storytelling
Exploring how character traits shape our experience of movies.
Sabyasachee Baruah, Shrikanth Narayanan
― 7 min read
Table of Contents
- What is Character Attribution?
- The Challenge of Character Types
- Building a Better Dataset
- The Role of Narrativity
- Elements of a Narrative
- Why Characters Matter
- Types of Character Tasks
- Challenges with Current Approaches
- Using Tropes to Understand Characters
- Constructing the Dataset
- Gathering Data from Screenplays
- The Annotation Process
- Making Sense of Ratings
- Evaluating Models for Character Attribution
- The Impact of Visual Cues in Movies
- Limitations of the Study
- Wrapping Up the Findings
- What’s Next?
- Conclusion
- Original Source
- Reference Links
Have you ever watched a movie and thought about how the Characters made the story exciting or boring? You’re not alone! Researchers are diving deep into the world of narratives to figure out how characters and their traits influence our experience. In this article, we’ll break down the idea of character attribution and why it matters when we talk about stories in movies.
What is Character Attribution?
Character attribution is a fancy way of saying we want to know what makes a character tick. We want to find out how they act, what traits they show, and how they relate to other characters in the story. Think of it like making a fun character profile, but with more detail and a bit of academic flair.
The Challenge of Character Types
In the past, researchers tried to put characters into boxes, labeling them as heroes, villains, sidekicks, and so on. But there’s a hiccup-these labels often don’t cover the complexity of real characters. Sometimes they were too simple or focused only on specific types of stories. It’s like trying to categorize all pets by just saying “dogs and cats.” There’s a whole zoo of characters out there!
Building a Better Dataset
To tackle the character attribution challenge, researchers gathered a big dataset that looks at how characters in movies show specific traits. They examined a whopping 88148 character-attribute pairs across 2998 characters from 660 movies. That's a lot of popcorn-worthy content!
By comparing these characters and their traits, the researchers hope to create a solid foundation for understanding how characters develop throughout a story. This information is like gold for anyone interested in storytelling, be it writers, filmmakers, or just curious movie-watchers.
The Role of Narrativity
Narrativity is the magic that happens when characters interact and create events that are connected by time and space. It’s what makes a scene memorable or a plot twist shocking! A character might act in one way, leading to another event, which then changes everything. It’s a chain reaction that builds the story we’re all caught up in.
Elements of a Narrative
To break down narratives even further, researchers have identified four key elements: characters, Attributes, events, and relations. Characters are the faces we remember; attributes are their traits; events are what happens to them; and relations show how characters connect with one another. These elements put together create the storyline we love to watch.
Why Characters Matter
Characters are the driving force of any story. They are the ones who make us feel emotions-joy, sadness, anger, and everything in between. Through their actions and relationships, they create drama, tension, and even comedy! Characters are the heartbeat of a narrative, and understanding them can make us appreciate movies on a deeper level.
Types of Character Tasks
When it comes to figuring out who a character is and what they embody, researchers have developed various tasks:
- Identification Tasks: These help find characters and how often they appear.
- Quotation Tasks: These match what characters say to the characters themselves.
- Attribution Tasks: They focus on describing character traits, like personality and role.
- Cloze Tasks: Here, the model fills in the blanks. For example, guess which character is being described in a short passage.
- Relation Tasks: These explore how characters compare to each other.
Character attribution is the trickiest among these tasks because there can be countless ways to describe a character. From personality traits to roles, it can get quite detailed!
Challenges with Current Approaches
Each method has its own set of challenges. For instance, using personality scales like Big5 might not cover every single character variation. General descriptors can be too vague, and roles aren't always explicitly defined. It’s like trying to fit a square peg in a round hole!
The goal is to create a character attribution system that is easy to use, can apply to different narratives, and helps accurately portray characters based on the entire story context.
Tropes to Understand Characters
UsingTo make the task easier, researchers turned to tropes-common storytelling conventions that signal certain character traits. For example, if a character is an "AntiHero," they may have flaws but still do heroic things. Tropes help streamline character analysis and give recognizable patterns to look out for.
Constructing the Dataset
Researchers used TVTropes as a foundation to build their dataset. They collected character tropes from Hollywood movies across many genres, creating a database of character-trope pairs. With 88148 pairs, they provided a comprehensive resource for examining how traits appear across various stories.
Gathering Data from Screenplays
The team focused on movie screenplays for data collection because movies offer more characters and traits compared to books. They gathered screenplays from different movie websites, ensuring a rich source of character details. Each screenplay averages around 25,000 words, giving ample information for analysis.
The Annotation Process
To ensure accuracy in character attribution, the researchers enlisted human raters. They created a rigorous process for their raters, who assessed whether characters portrayed specific tropes. Initially, a large pool of workers was qualified, but only those with a high accuracy rate were chosen for the task.
Making Sense of Ratings
Raters used a scale to indicate their confidence about whether a character showed a specific trope. By collecting multiple ratings, the researchers could analyze the overall trend and build a dataset that better reflects character portrayal.
Evaluating Models for Character Attribution
Once the dataset was complete, it was time to test various models against it. Models were prompted with segments of screenplays, including character definitions and tropes, to see how well they could predict character attributions. Some models performed well, while others struggled, providing valuable insights into how to improve the attribution process.
The Impact of Visual Cues in Movies
While screenplays are a rich source of information, they might miss some nuances found in the actual films-like visual cues. Characters might express feelings or traits through non-verbal actions that aren’t captured in text. This gap highlights why studying characters through both screenplay and film is crucial!
Limitations of the Study
The research also acknowledged its limitations. Since screenplays might not perfectly align with the final films, some character traits could be misrepresented. Additionally, not all films feature the same characters, leading to gaps in knowledge about certain portrayals.
Wrapping Up the Findings
The findings from this research can influence how creators and writers analyze their characters. Understanding character attribution can help them craft more compelling narratives and build relatable characters that resonate with audiences.
What’s Next?
Moving forward, the researchers aim to develop models to assist in character attribution further. This could help not only in academic settings but also benefit writers across different genres as they create engaging, multi-dimensional characters.
Conclusion
In the world of storytelling, characters are the stars of the show. Through character attribution, we can deepen our appreciation of narratives and understand the complexities behind our favorite characters. From identifying traits to exploring relationships, this research opens the door to a richer understanding of the stories that captivate us. So, the next time you find yourself lost in a movie, remember there’s a lot happening behind the scenes to analyze those unforgettable characters!
Title: CHATTER: A Character Attribution Dataset for Narrative Understanding
Abstract: Computational narrative understanding studies the identification, description, and interaction of the elements of a narrative: characters, attributes, events, and relations. Narrative research has given considerable attention to defining and classifying character types. However, these character-type taxonomies do not generalize well because they are small, too simple, or specific to a domain. We require robust and reliable benchmarks to test whether narrative models truly understand the nuances of the character's development in the story. Our work addresses this by curating the Chatter dataset that labels whether a character portrays some attribute for 88148 character-attribute pairs, encompassing 2998 characters, 13324 attributes and 660 movies. We validate a subset of Chatter, called ChatterEval, using human annotations to serve as an evaluation benchmark for the character attribution task in movie scripts. ChatterEval assesses narrative understanding and the long-context modeling capacity of language models.
Authors: Sabyasachee Baruah, Shrikanth Narayanan
Last Update: 2024-11-07 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2411.05227
Source PDF: https://arxiv.org/pdf/2411.05227
Licence: https://creativecommons.org/licenses/by-nc-sa/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.
Reference Links
- https://www.latex-project.org/help/documentation/encguide.pdf
- https://drive.google.com/drive/folders/11egMhs-zkWSASe7zJENwHg17-6VOeXDU?usp=sharing
- https://tvtropes.org
- https://scripts-onscreen.com
- https://imdb.com
- https://www.mturk.com
- https://www.fandom.com
- https://imsdb.com/
- https://www.dailyscript.com/
- https://www.scriptslug.com/