shashwath94 / Hierarchical-Seq2SeqLinks
A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
☆28Updated 7 years ago
Alternatives and similar repositories for Hierarchical-Seq2Seq
Users that are interested in Hierarchical-Seq2Seq are comparing it to the libraries listed below
Sorting:
- The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"☆110Updated 9 months ago
- The codes and data for paper "Learning to Control the Fine-grained Sentiment for Story Ending Generation (ACL 2019)".☆27Updated 5 years ago
- Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (current…☆116Updated 7 years ago
- Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in dialogue generation(EMNLP2019)☆19Updated 2 years ago
- Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Archi…☆154Updated 3 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
- ☆43Updated 7 years ago
- ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation☆57Updated 5 years ago
- Code for NAACL19 paper "Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory"☆21Updated 6 years ago
- Pytorch implementation of Hierarchical Encoder Decoder Sequence to Sequence Model☆38Updated 8 years ago
- ACL2019:Learning to Abstract for Memory-augmented Conversational Response Generation☆19Updated 5 years ago
- Code for the paper at ACL2018☆30Updated 6 years ago
- An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehensio…☆58Updated 5 years ago
- PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)☆173Updated last year
- CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Dive…☆16Updated 5 years ago
- ☆19Updated 5 years ago
- Resources of our paper at AAAI-19 ``Response Generation by Context-aware Prototype Editing"☆78Updated 6 years ago
- ☆46Updated last year
- Transformer for abstractive summarization on cnn/daily-mail and gigawords☆139Updated 2 years ago
- Implementation of RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems☆18Updated 6 years ago
- OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated re…☆28Updated 6 years ago
- Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL 2018)☆108Updated 7 years ago
- Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"☆41Updated 7 years ago
- Code for EMNLP 2018 paper "XL-NBT: A Cross-lingual Neural Belief Tracking Framework"☆36Updated 5 years ago
- code for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation☆21Updated 5 years ago
- Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention☆28Updated 4 years ago
- CMU Document Grounded Conversation Dataset☆112Updated 6 years ago
- code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"☆77Updated 4 years ago
- An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"☆153Updated 7 years ago
- ☆53Updated 5 years ago