AsaCooperStickland / Bert-n-Pals
Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/abs/1902.02671)
☆81Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Bert-n-Pals
- Domain Adaptive Text Style Transfer, EMNLP 2019☆70Updated 5 years ago
- Code for the paper Non-Autoregressive Dialog State Tracking (ICLR20)☆44Updated 4 years ago
- ☆38Updated 4 years ago
- Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.☆115Updated 4 years ago
- Generating Sentences from Disentangled Syntactic and Semantic Spaces☆41Updated 2 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆47Updated 4 years ago
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆36Updated 4 years ago
- ☆95Updated 6 years ago
- Contrastive Attention Mechanism for Abstractive Text Summarization☆40Updated 4 years ago
- Interpreting Bidirectional Encoder Representations from Transformers (BERT)☆108Updated 2 years ago
- Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".☆130Updated 3 years ago
- The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"☆110Updated 8 months ago
- In this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data us…☆77Updated 2 years ago
- Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)☆79Updated 4 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆101Updated 4 years ago
- Language-Adversarial Training for Cross-Lingual Text Classification (TACL)☆62Updated 4 years ago
- Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"☆82Updated 2 years ago
- Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)☆129Updated 4 years ago
- Evaluate your dialog model with 17 metrics! (see paper)☆96Updated 4 years ago
- Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020☆163Updated 2 years ago
- roBERTa training for SQuAD☆51Updated 4 years ago
- FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension☆36Updated 2 years ago
- Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"☆107Updated 4 years ago
- PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm☆132Updated last year
- ☆69Updated 4 years ago
- Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)☆128Updated 5 years ago
- ☆38Updated 5 years ago
- Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"☆58Updated 2 years ago
- ☆62Updated 4 years ago
- The source code for ACL 2020 paper Exclusive Hierarchical Decoding for Deep Keyphrase Generation☆56Updated last year