PrimeQA is a public open source repository that enables researchers and developers to train state-of-the-art models for question answering (QA). By using PrimeQA, a researcher can replicate the experiments outlined in a paper published in the latest NLP conference while also enjoying the capability to download pre-trained models (from an online repository) and run them on their own custom data. PrimeQA is built on top of theTransformers toolkit and usesdatasets andmodels that are directly downloadable. Note: that we have 4 repositories under PrimeQA with the first 2 serving most of your needs. Demo paper outlining PrimeQA and its capabilities are availablehere.

• primeqa: The main PrimeQA repository for training custom QA models, replicating the SOTA in QA research/ academia and notebooks.
• create-primeqa-app: This repository provides easy scripts to run PrimeQA applications via docker.
• primeqa-ui: Front-end for PrimeQA services
• primeqa-orchestrator: Orchestrator connecting different PrimeQA components

The models within PrimeQA supports End-to-end Question Answering. PrimeQA answers questions via

• Information Retrieval: Retrieving documents and passages using both traditional (e.g. BM25) and neural (e.g. ColBERT) models
• Multilingual Machine Reading Comprehension: Extract and/ or generate answers given the source document or passage.
• Multilingual Question Generation: Supports generation of questions for effective domain adaptation overtables andmultilingual text.

For more details, please look into the individual repositories.

Repositories