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 the Transformers toolkit and uses datasets and models that are directly downloadable.

Features

  • Retrieving documents and passages using both traditional (e.g. BM25) and neural (e.g. ColBERT) models
  • Extract and/ or generate answers given the source document or passage
  • Supports generation of questions for effective domain adaptation over tables and multilingual text
  • Java 11 is required for BM25 retrieval
  • To run the unit tests you first need to install PrimeQA
  • Full API documentation and tutorials

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool, Python Neural Search Software

Registered

2023-08-21