umass-ml4ed/question-gen-aug-ranking
Official repo for "Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank" (Outstanding paper at BEA@ACL 2023)
This project helps educators, content creators, and instructional designers automatically generate high-quality reading comprehension questions. You input a text passage and an answer, and it outputs a selection of well-formulated questions that test understanding. It's designed for anyone who needs to quickly create diverse and effective comprehension assessments, especially for complex texts.
No commits in the last 6 months.
Use this if you need to generate multiple, high-quality reading comprehension questions for a given text and its answer, and want to ensure they are diverse and effective.
Not ideal if you need to generate questions for very short, simple texts or if you require questions that go beyond standard reading comprehension (e.g., critical thinking, inference not tied to specific answers).
Stars
8
Forks
—
Language
Python
License
CC0-1.0
Category
Last pushed
Dec 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/umass-ml4ed/question-gen-aug-ranking"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asahi417/lm-question-generation
Multilingual/multidomain question generation datasets, models, and python library for question...
SparkJiao/SLQA
An Unofficial Pytorch Implementation of Multi-Granularity Hierarchical Attention Fusion Networks...
MurtyShikhar/Question-Answering
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
hsinyuan-huang/FlowQA
Implementation of conversational QA model: FlowQA (with slight improvement)
allenai/aokvqa
Official repository for the A-OKVQA dataset