victordibia/neuralqa

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

43
/ 100
Emerging

This tool helps you quickly find specific answers within large collections of text documents, like internal knowledge bases or research papers. You input a question, and it scans your documents to pinpoint the exact sentence or phrase that contains the answer. It's designed for anyone who needs to extract precise information from extensive text archives without manually sifting through them.

234 stars. No commits in the last 6 months.

Use this if you need to quickly get a direct answer to a question from a large database of documents, rather than just a list of relevant files.

Not ideal if you're looking for broad summaries or need to understand the general context of a document rather than a specific factual answer.

knowledge-retrieval document-search information-extraction research-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

234

Forks

31

Language

JavaScript

License

MIT

Last pushed

Jun 07, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/victordibia/neuralqa"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.