hiaoxui / D2T-GroundingLinks
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
☆13Updated 6 years ago
Alternatives and similar repositories for D2T-Grounding
Users that are interested in D2T-Grounding are comparing it to the libraries listed below
Sorting:
- Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB☆52Updated 3 years ago
- ☆43Updated 7 years ago
- ☆20Updated 2 years ago
- Code for "Deconvolution-Based Global Decoding for Neural Machine Translation" (COLING 2018).☆26Updated 7 years ago
- OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated re…☆28Updated 7 years ago
- ☆54Updated 5 years ago
- Neural Machine Translation in Pytorch☆31Updated 7 years ago
- CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Dive…☆16Updated 5 years ago
- Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018☆63Updated 7 years ago
- ☆95Updated 7 years ago
- Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"☆123Updated 6 years ago
- Commonsense Explanations for Commonsense Question Answering☆13Updated 6 years ago
- Repository for the What's Missing EMNLP'19 paper☆17Updated 4 years ago
- code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"☆77Updated 5 years ago
- Language model with phrase induction☆14Updated 6 years ago
- Code corresponding to our paper "Semantic Neural Machine Translation using AMR"☆26Updated 5 years ago
- Code for "Bag-of-Words as Target for Neural Machine Translation"☆45Updated 7 years ago
- The codes and data for paper "Learning to Control the Fine-grained Sentiment for Story Ending Generation (ACL 2019)".☆26Updated 6 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- AMR Parsing via Graph-Sequence Iterative Inference☆70Updated 2 years ago
- [EMNLP 2020] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading☆37Updated 3 years ago
- Code for ACL 2019 paper "Reinforced Dynamic Reasoning for Conversational Question Generation".☆41Updated 6 years ago
- Sequence-to-sequence models for AMR parsing and generation☆70Updated 5 years ago
- ☆22Updated 5 years ago
- NABERT model for solving the DROP dataset☆26Updated 6 years ago
- ☆36Updated 7 years ago
- Generating Sentences from Disentangled Syntactic and Semantic Spaces☆42Updated 3 years ago
- Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)☆80Updated 5 years ago
- Parsing Reading Predict Network☆97Updated 6 years ago
- Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)☆67Updated 4 years ago