TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. [Demo] [Paper]

TL;DR Progress is an interactive web application for exploring the landscape of text summarization research. It provides a curated database of papers annotated with different aspects of text summarization such as datasets, evaluation metrics, pipeline components and research challenges.

Features

• 🔍 Search papers by title, abstract, or TL;DR summary
• 🏷️ Filter papers by venue, year, metrics, and datasets etc.
• 🧩 Explore papers by pipeline components (Input Encoding, Unit Relationship, etc.)
• 📊 Interactive visualizations of research trends
• 📑 TL;DR summaries for quick paper understanding

Screenshots

Installation

1. Clone the repository:

   git clone https://github.com/your-username/eacl24-tldr-progress.git
   cd eacl24-tldr-progress

2. Create and activate a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

Running the Application

1. Start the FastAPI server:

   uvicorn app.main:app --reload

2. Open your browser and navigate to:

   http://localhost:8000
   

The application will load with the full database of papers and all filtering capabilities enabled.

Development

• The application is built with FastAPI for the backend and uses SQLite for the database
• Frontend uses Bulma CSS framework and HTMX for dynamic updates
• All templates are in the app/templates directory
• Static files (CSS, JS) are in the app/static directory
• Database and models are in the app/database directory