sheffieldnlp / AMR2Text-summLinks
AMR-to-Text Generator with Side Information
☆24Updated 4 years ago
Alternatives and similar repositories for AMR2Text-summ
Users that are interested in AMR2Text-summ are comparing it to the libraries listed below
Sorting:
- ☆59Updated 7 years ago
- [ACL2020] Unsupervised Opinion Summarization with Noising and Denoising☆21Updated 5 years ago
- LM pretraining for generation, reading list, resources, conference mappings.☆20Updated 5 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
- An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehensio…☆58Updated 6 years ago
- Joint Extraction & Compression text Summarization☆40Updated 6 years ago
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆36Updated 5 years ago
- [ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading☆39Updated 3 years ago
- Code to reproduce "GPT-too: A Language-Model-First Approach for AMR-to-Text-Generation"☆38Updated 3 months ago
- The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)☆55Updated 4 years ago
- ☆19Updated 5 years ago
- (COLING'18) The source code for the paper "Structure-Infused Copy Mechanisms for Abstractive Summarization".☆29Updated 7 years ago
- This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".☆60Updated 6 years ago
- ☆31Updated 6 years ago
- [ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling☆88Updated 5 years ago
- The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".☆71Updated last year
- AIR retriever for Multi-Hop QA (ACL 2020 paper)☆30Updated 5 years ago
- Sequence-to-sequence models for AMR parsing and generation☆70Updated 5 years ago
- Datasets for the paper "Improving the Robustness of Question Answering Systems to Question Paraphrasing" (ACL 2019)☆27Updated 6 years ago
- NAACL'19: "Jointly Optimizing Diversity and Relevance in Neural Response Generation"☆73Updated 5 years ago
- ☆20Updated 6 years ago
- Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)☆80Updated 5 years ago
- The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.☆32Updated last year
- ☆36Updated 5 years ago
- Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)☆30Updated 5 years ago
- Natural Language Generation by Hierarchical Decoding with Linguistic Patterns (NAACL-HLT 2018), Investigating Linguistic Pattern Ordering…☆32Updated 7 years ago
- Question-Answer Meaning Representation☆48Updated 3 years ago
- Learn models that are robust to spurious correlations in the dataset.☆26Updated 5 years ago
- Large scale sentential paraphrases collection and annotation☆46Updated 2 years ago
- [NAACL'22-Findings] Dataset for "Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training"☆18Updated 3 years ago