Medical visual question answering with python
Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.
Can NLI Models Verify QA Systems' Predictions?
This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osok
This repository is the code that placed 78th in Riiid Answer Correctness Prediction competition.
Answer some questions and get your brawler csvs ready!
It can be easily customized to different kinds of questions in natural language and database queries. So, with little coding you can build your own system for natural language access to your database.