appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit
Yamaguchi, Atsuki, Morishita, Terufumi
–arXiv.org Artificial Intelligence
We every year, which are typically distributed in Portable publicly release appjsonify on GitHub and PyPI, which Document Format (PDF). Obtaining clean and structured should help accelerate AI research and development activities text from them can be very useful for research and development using scientific documents. Finally, appjsonify provides activities in the field of artificial intelligence (AI), from both CLI and Python interface, making it easily usable.
arXiv.org Artificial Intelligence
Oct-3-2023
- Country:
- North America > United States
- New York > New York County > New York City (0.04)
- Europe
- United Kingdom > England
- South Yorkshire > Sheffield (0.05)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- France > Provence-Alpes-Côte d'Azur
- Bouches-du-Rhône > Marseille (0.04)
- Croatia > Dubrovnik-Neretva County
- Dubrovnik (0.04)
- United Kingdom > England
- Asia
- North America > United States
- Genre:
- Research Report (0.40)
- Technology: