lynnna-xu / text-generation-transformer
text generation based on transformer
☆36Updated 5 years ago
Related projects: ⓘ
- ☆92Updated 4 years ago
- Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".☆129Updated 3 years ago
- [EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)☆113Updated 3 years ago
- ☆32Updated 4 years ago
- Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"☆91Updated 3 years ago
- Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"☆120Updated 5 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- Pytorch implementation of "Dynamic Coattention Networks For Question Answering"☆61Updated 5 years ago
- Implementation of paper "Learning to Encode Text as Human-Readable Summaries using GAN"☆65Updated 4 years ago
- Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction☆72Updated 4 years ago
- Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)☆129Updated 4 years ago
- AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training☆128Updated 3 years ago
- Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"☆151Updated 5 years ago
- Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)☆174Updated last month
- A Pytorch implementation of QANet☆91Updated 5 years ago
- An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"☆138Updated 2 years ago
- ☆53Updated 3 years ago
- Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019☆53Updated 4 years ago
- ☆100Updated this week
- A BERT-Based Machine Reading Comprehension Baseline☆63Updated 5 years ago
- A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.☆35Updated 5 years ago
- Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090☆122Updated 6 years ago
- A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension☆108Updated 6 years ago
- A text classification example with Bert/ELMo/GloVe in pytorch☆90Updated 3 years ago
- CIKM 2020: Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots☆75Updated 3 years ago
- Multitask Learning for Machine Reading Comprehension, NAACL 2019☆100Updated 4 years ago
- Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (current…☆119Updated 6 years ago
- BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer☆103Updated 3 years ago
- ☆172Updated 2 years ago
- add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch☆80Updated 5 years ago