Dodrio: An Overview
Dodrio is an interactive visualization tool developed to assist researchers and practitioners in the natural language processing (NLP) field. Its main goal is to help these professionals analyze and compare the attention weights in transformer-based models, employing linguistic knowledge to aid in their understanding.
Key Features
- Interactive Visualization: Dodrio allows users to explore transformer models in a hands-on manner, making the complex data more accessible and easier to interpret.
- Comparable Analysis: By visualizing attention weights, researchers can compare different models and discover insights into how linguistic information is processed.
- Transformer-Based Models: The focus is on advanced NLP models that are widely used in various AI applications today.
Getting Started
To try Dodrio, a live demo is available online. For those who prefer to run it locally, the process is straightforward:
-
Clone the Repository:
- Use the command:
git clone [email protected]:poloclub/dodrio.git - Alternatively, use
degit poloclub/dodrioto avoid downloading commit histories.
- Use the command:
-
Install Dependencies:
- Execute
npm installto get the necessary packages.
- Execute
-
Run Dodrio:
- Start the application with
npm run dev. - Access it by visiting localhost:5000 in your browser.
- Start the application with
For those interested in customizing or training their own models, the project’s data-generation directory provides additional guidance on these processes.
Development and Credits
Dodrio is a creation of Jay Wang, Robert Turko, and Polo Chau. Their collaborative efforts have resulted in a tool that facilitates the understanding of complex NLP models through visualization.
Further Reading and Citation
For a more in-depth look at Dodrio, the preprint entitled "Dodrio: Exploring Transformer Models with Interactive Visualization," authored by Zijie J. Wang, Robert Turko, and Duen Horng Chau, is available on arXiv. The project is cited at the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.
License and Support
Dodrio is distributed under the MIT License, allowing for broad usage and adaptation. For queries or assistance, users are encouraged to open an issue on the project's GitHub repository or contact Jay Wang directly.