ElizaLo / Question-Answering-based-on-SQuAD
Question Answering System using BiDAF Model on SQuAD v2.0
☆25Updated 4 years ago
Alternatives and similar repositories for Question-Answering-based-on-SQuAD
Users that are interested in Question-Answering-based-on-SQuAD are comparing it to the libraries listed below
Sorting:
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- Question Answering task using Deep Learning on SQuAD dataset☆21Updated 2 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Implementation of paper "Learning to Encode Text as Human-Readable Summaries using GAN"☆66Updated 5 years ago
- This is the official code for Extractive Summarization of Long Documents by Combining Global and Local Context☆69Updated 4 years ago
- Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks☆140Updated 4 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- ☆76Updated 2 years ago
- Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".☆131Updated 3 years ago
- The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2…☆89Updated 8 months ago
- Official code and data repository for our ACL 2019 long paper "Generating Question-Answer Hierarchies" (https://arxiv.org/abs/1906.02622)…☆93Updated 9 months ago
- [EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)☆113Updated 4 years ago
- "End-to-End Abstractive Summarization for Meetings" paper - Unofficial PyTorch Implementation☆53Updated 2 years ago
- Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019☆52Updated 4 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆134Updated last year
- SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)☆85Updated 2 years ago
- Starter code for Stanford CS224n default final project on SQuAD 2.0☆186Updated 5 years ago
- ☆30Updated 6 years ago
- [AAAI 2019] Generating Distractors for Reading Comprehension Questions from Real Examinations☆70Updated 5 years ago
- AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training☆129Updated 3 years ago
- The official implementation of EMNLP 2020, "A Simple and Effective Model for Answering Multi-span Questions".☆158Updated last year
- This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Pa…☆80Updated 5 years ago
- Source codes for the paper "Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization"☆90Updated last year
- roBERTa training for SQuAD☆51Updated 5 years ago
- ☆25Updated 4 years ago
- Abstractive text summarization by fine-tuning seq2seq models.☆37Updated 4 years ago
- Code for EMNLP2020 paper: "Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space"☆26Updated 4 years ago
- A repository for our AAAI-2020 Cross-lingual-NER paper. Code will be updated shortly.☆47Updated 2 years ago
- ☆33Updated 4 years ago
- ☆33Updated 6 years ago