Question Answering
A curated list of resources for Question Answering (QA), covering machine learning, deep learning, datasets, and research.
What is Question Answering?
Awesome Question Answering is a curated GitHub repository that compiles resources related to Question Answering (QA), a subfield of AI focused on enabling machines to answer questions posed in natural language. It aggregates research papers, datasets, code implementations, competitions, and educational materials to help developers and researchers stay updated and build QA systems.
AI researchers, NLP engineers, data scientists, and students working on machine comprehension, information retrieval, or building QA applications.
It saves significant time by providing a single, organized source for QA resources, eliminating the need to scour scattered papers and repositories. The list is community-driven and regularly updated with the latest advancements.
Overview
😎 A curated list of the Question Answering (QA)
Use Cases
Best For
- Finding the latest research papers on QA and language models
- Discovering datasets for training and evaluating QA systems
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
