hemantpugaliya / Automatic-Question-Answer-Generation
A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to deal with simple and complex sentences" by Das et.al
☆23Updated 6 years ago
Alternatives and similar repositories for Automatic-Question-Answer-Generation:
Users that are interested in Automatic-Question-Answer-Generation are comparing it to the libraries listed below
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆112Updated 3 years ago
- Neural Models for Key Phrase Detection and Question Generation☆30Updated 7 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Official code and data repository for our ACL 2019 long paper "Generating Question-Answer Hierarchies" (https://arxiv.org/abs/1906.02622)…☆93Updated 7 months ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.☆68Updated 2 years ago
- Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018☆53Updated 5 years ago
- Automatic Question Generator from TEXT☆109Updated last year
- code for QG-Net: A Data-Driven Question Generation Model for Educational Content☆49Updated 4 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 4 years ago
- ☆76Updated 2 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 6 years ago
- ☆12Updated 6 years ago
- The WebSplit Benchmark introducing "Split and Rephrase" task☆63Updated 6 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆171Updated 6 years ago
- ☆30Updated 6 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- A python library to compute rouge score for summarization☆57Updated 2 years ago
- [ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling☆88Updated 4 years ago
- [AAAI 2019] Generating Distractors for Reading Comprehension Questions from Real Examinations☆70Updated 4 years ago
- Paraphrases generator based on RAVE.☆58Updated 6 years ago
- State-of-the-art Supervised Sentence Simplification System from ACL 2014☆46Updated 6 years ago
- ☆33Updated 6 years ago
- code for ACL 2019 paper "cross lingual training for automatic question generation"☆14Updated 5 years ago
- Exploring Neural Text Simplification☆73Updated 7 years ago
- Text Simplification System and Dataset☆124Updated last year
- Neural Question Generation Model for generating reading comprehension questions from text☆16Updated 6 years ago
- ☆96Updated last year
- Massively Multilingual Transfer for NER☆86Updated 3 years ago