cooelf/AwesomeMRC
IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)
This project offers an advanced system for Machine Reading Comprehension (MRC), helping to automatically understand and answer questions based on provided text. You input a document or passage and a question, and it outputs precise answers extracted directly from the text. It's designed for researchers and practitioners in natural language processing who want to build or evaluate state-of-the-art question-answering systems.
362 stars. No commits in the last 6 months.
Use this if you need to develop or experiment with cutting-edge machine reading comprehension models, especially those involving retrospective analysis for improved accuracy.
Not ideal if you are looking for a simple, out-of-the-box solution for general-purpose text analysis without deep customization or research involvement.
Stars
362
Forks
66
Language
Python
License
—
Category
Last pushed
Sep 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/cooelf/AwesomeMRC"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cdqa-suite/cdQA
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
AMontgomerie/question_generator
An NLP system for generating reading comprehension questions
KristiyanVachev/Leaf-Question-Generation
Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
robinniesert/kaggle-google-quest
Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution
pranavkumaarofficial/nlcli-wizard
Natural language control for Python CLI tools using locally-trained SLMs (CPU inference)