KristiyanVachev / Question-Generation
Generating multiple choice questions from text using Machine Learning.
☆490Updated last year
Alternatives and similar repositories for Question-Generation:
Users that are interested in Question-Generation are comparing it to the libraries listed below
- An NLP system for generating reading comprehension questions☆288Updated last year
- Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.☆134Updated 3 years ago
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago
- Automatic Question Generator from TEXT☆110Updated 2 years ago
- ☆159Updated 2 years ago
- Neural question generation using transformers☆1,127Updated last year
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- Question generation using state-of-the-art Natural Language Processing algorithms☆928Updated last year
- Automatic question generation by using NLP☆207Updated 7 months ago
- Question-answer generation from text☆71Updated last year
- Text2Text Language Modeling Toolkit☆300Updated 3 months ago
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆112Updated 3 years ago
- A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to …☆23Updated 6 years ago
- A summary of must-read papers for Neural Question Generation (NQG)☆586Updated 3 years ago
- Sentence paraphrase generation at the sentence level☆407Updated 2 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- A paraphrase generator built using the T5 model which produces paraphrased English sentences.☆313Updated 3 weeks ago
- Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet☆87Updated 5 years ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- SQuAD Question Answering Using BERT, PyTorch☆399Updated 2 years ago
- Multiple implementations for abstractive text summurization , using google colab☆530Updated 4 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆171Updated 6 years ago
- neural question generation for reading comprehension☆344Updated 4 years ago
- Website of Question Answer Generation☆17Updated 2 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆430Updated last year
- ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.☆617Updated 4 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 6 years ago