A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Neural question generation using transformers

Question generation using state-of-the-art Natural Language Processing algorithms

A summary of must-read papers for Neural Question Generation (NQG)

Generating multiple choice questions from text using Machine Learning.

Text2Text: Crosslingual NLP/G toolkit

Multilingual/multidomain question generation datasets, models, and python library for question generation.

An NLP system for generating reading comprehension questions

Intelligent Q&A system（第七届中软杯，智能问答系统）

Mimix: A Text Generation Tool and Pretrained Chinese Models

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.

[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)

[ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

[ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling

Codes for NAACL 2021 Paper "Unsupervised Multi-hop Question Answering by Question Generation"

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"