xinyadu / nqg
neural question generation for reading comprehension
☆346Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for nqg
- A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.☆401Updated 2 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 5 years ago
- Ranking Sentences for Extractive Summarization with Reinforcement Learning☆272Updated 4 years ago
- ☆262Updated 2 years ago
- ☆178Updated 5 years ago
- Resources for the MRQA 2019 Shared Task☆292Updated 3 years ago
- ☆300Updated 6 years ago
- A list of recent papers regarding dialogue generation☆271Updated 5 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆172Updated 6 years ago
- Interactive in-browser attention visualizer tool for recurrent networks☆135Updated 2 years ago
- ☆434Updated 9 months ago
- End-to-end Neural Coreference Resolution☆524Updated 2 years ago
- Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next☆330Updated 5 years ago
- Deep neural models for core NLP tasks (Pytorch version)☆441Updated 2 years ago
- Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better …☆202Updated last year
- Neural Paraphrase Generation☆179Updated 2 years ago
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆114Updated 3 years ago
- Implementation of conversational QA model: FlowQA (with slight improvement)☆197Updated 5 years ago
- ☆270Updated 4 years ago
- Python wrapper for evaluating summarization quality by ROUGE package☆166Updated 4 years ago
- Statistical NLG for spoken dialogue systems☆205Updated 2 years ago
- ☆318Updated last year
- Tools for using Maluuba's NewsQA Dataset (public version)☆253Updated 2 years ago
- Neural network toolkit for sentence pair modeling.☆303Updated 3 years ago
- Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).☆185Updated 3 years ago
- ☆158Updated 5 years ago
- Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304☆159Updated 6 years ago
- DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf☆153Updated 3 years ago
- ☆230Updated 6 years ago
- Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks☆140Updated 4 years ago