seanie12 / neural-question-generationLinks
Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
☆140Updated 5 years ago
Alternatives and similar repositories for neural-question-generation
Users that are interested in neural-question-generation are comparing it to the libraries listed below
Sorting:
- An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"☆138Updated 3 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 6 years ago
- Unsupervised Extractive Summarization based on Position-Augmented Centrality☆122Updated 4 years ago
- Resources for the MRQA 2019 Shared Task☆294Updated 4 years ago
- PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713☆159Updated 6 years ago
- Transformer for abstractive summarization on cnn/daily-mail and gigawords☆140Updated 2 years ago
- Code and Data for ACL 2019 "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention"☆137Updated 6 years ago
- The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"☆111Updated 11 months ago
- Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019☆236Updated 6 years ago
- Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"☆91Updated 4 years ago
- An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"☆153Updated 8 years ago
- Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"☆106Updated 5 years ago
- ☆63Updated 5 years ago
- Dynamic Knowledge-Grounded Dialogue Generation. Tensorflow. The data and code of paper "DyKgChat: Benchmarking Dialogue Generation Ground…☆49Updated 6 years ago
- Source code for our "TitleStylist" paper at ACL 2020☆77Updated last year
- Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)☆130Updated 5 years ago
- Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019☆52Updated 5 years ago
- ☆121Updated 2 years ago
- Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"☆150Updated 7 years ago
- The source code of our ACL2019 paper "Incremental Transformer with Deliberation Decoder for Document Grounded Conversations "☆86Updated 6 years ago
- Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sen…☆126Updated 3 years ago
- Personalizing Dialogue Agents via Meta-Learning☆131Updated last year
- Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)☆174Updated last year
- Code for paper Single Document Summarization as Tree Induction☆35Updated 6 years ago
- ☆141Updated 4 years ago
- The source code for ACL 2020 paper Exclusive Hierarchical Decoding for Deep Keyphrase Generation☆55Updated 2 years ago
- PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)☆173Updated last year
- Contrastive Attention Mechanism for Abstractive Text Summarization☆40Updated 5 years ago
- AMR Parsing as Sequence-to-Graph Transduction☆155Updated last year
- ☆53Updated 6 years ago