dipta-dhar / Automatic-Question-Generator
Automatic Question Generator from TEXT
☆109Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Automatic-Question-Generator
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆114Updated 3 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆172Updated 6 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Automatic question generation by using NLP☆209Updated 3 months ago
- Neural Models for Key Phrase Detection and Question Generation☆30Updated 6 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
- Neural Question Generation using the SQuAD and NewsQA datasets☆109Updated last year
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 5 years ago
- Official code and data repository for our ACL 2019 long paper "Generating Question-Answer Hierarchies" (https://arxiv.org/abs/1906.02622)…☆95Updated 3 months ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 4 years ago
- ☆12Updated 5 years ago
- Question-answer generation from text☆69Updated last year
- ImplementAI Workshop on Deep NLP for Question Generation☆78Updated 6 years ago
- neural question generation for reading comprehension☆345Updated 3 years ago
- ☆158Updated last year
- DAANet: Dual Ask-Answer Network for Machine Reading Comprehension☆146Updated 6 years ago
- Question generation from Reading Comprehension☆19Updated 2 years ago
- Fast and accurate spell correction library☆76Updated 2 years ago
- State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.☆134Updated 4 years ago
- BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be ab…☆112Updated 3 years ago
- ☆75Updated last year
- ☆30Updated 6 years ago
- code for QG-Net: A Data-Driven Question Generation Model for Educational Content☆49Updated 4 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆189Updated last year
- Python Framework for Extractive Text Summarization☆113Updated 3 years ago
- ☆39Updated 5 years ago
- Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018☆54Updated 5 years ago
- Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into n…☆183Updated 5 years ago
- PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.☆150Updated 2 years ago
- Question Generation using Google T5 and Text2Text☆153Updated 3 years ago