ZhitingHu / text_content_manipulationLinks
Text Content Manipulation
☆45Updated 4 years ago
Alternatives and similar repositories for text_content_manipulation
Users that are interested in text_content_manipulation are comparing it to the libraries listed below
Sorting:
- Code for NAACL19 Paper "How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection"☆42Updated 6 years ago
- The code for "An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation" (EMNLP 2018)☆47Updated 7 years ago
- PyTorch implementation of Transformer-based Neural Machine Translation☆78Updated 2 years ago
- ☆31Updated 6 years ago
- ☆41Updated 7 years ago
- Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)☆80Updated 5 years ago
- Natural Language Generation by Hierarchical Decoding with Linguistic Patterns (NAACL-HLT 2018), Investigating Linguistic Pattern Ordering…☆32Updated 6 years ago
- Commonsense Inference on Events, Intents, and Reactions☆43Updated 6 years ago
- Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)☆67Updated 4 years ago
- Dockerized code for E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.☆48Updated 2 years ago
- A code for "Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking" in ACL2…☆27Updated 6 years ago
- ☆73Updated 7 years ago
- ☆39Updated 6 years ago
- NAACL'19: "Jointly Optimizing Diversity and Relevance in Neural Response Generation"☆74Updated 4 years ago
- PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, …☆132Updated 6 years ago
- Search-based-Neural-Structured-Learning-for-Sequential-Question-Answering☆32Updated 2 years ago
- Learn models that are robust to spurious correlations in the dataset.☆26Updated 5 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
- (COLING'18) The source code for the paper "Structure-Infused Copy Mechanisms for Abstractive Summarization".☆29Updated 7 years ago
- Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"☆81Updated 2 years ago
- Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL 2018)☆108Updated 7 years ago
- DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension☆77Updated 6 years ago
- Code for EMNLP 2018 paper "XL-NBT: A Cross-lingual Neural Belief Tracking Framework"☆36Updated 5 years ago
- Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis☆35Updated 6 years ago
- The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)☆55Updated 4 years ago
- Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 201…☆28Updated 5 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆36Updated 5 years ago
- Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.☆19Updated 6 years ago
- Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)☆69Updated 6 years ago