- What I Have Read
- Slides
- Summarization
- Conversation
- Cross-Lingual
- Reinforcement Learning
- Meta Learning
- Graph Neural Networks (GNN)
- Contrastive Learning
- Recommendation
- Generative Adversarial Networks (GAN)
- Knowledge Distillation
- Pre-trained Language Models
- Multi-Modal
- Natural Language Generation
- Data Augmentation
- Survey
- Others
- Summarization
- 文本摘要简述
- ACL19 Summarization
- EMNLP19 Summarization
- ACL20 Summarization
- Multi-modal Summarization
- Efficient Transformers
- Data Augmentation
- Event Extraction
- Meta Learning
- Advanced pre-training language models a brief introduction
- Graph Neural Networks
- Knowledge Distillation
- Non-Autoregressive Decoding
- EMNLP20-Group-wise Contrastive Learning for Neural Dialogue Generation
- WWW20-Heterogeneous Graph Transformer
- ICLR20-Plug and Play Language Model- A Simple Baseline for Controlled Language Generation
- ACL19-A Simple Theoretical Model of Importance for Summarization
- ACL19-Multimodal Abstractive Summarization for How2 Videos
- NIPS19-Episodic Memory in Lifelong Language Learning
- EMNLP19-DialogueGCN-A Graph Convolutional Neural Network for Emotion Recognition in Conversation
- ACL19-Dynamically Fused Graph Network for Multi-hop Reasoning
- NAACL19-Linguistic Knowledge and Transferability of Contextual Representations
- NAACL19-Text Generation from Knowledge Graphs with Graph Transformers
- The Curious Case of Neural Text Degeneration
- EMNLP18-Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
- EMNLP18-Commonsense for Generative Multi-Hop Question Answering Tasks
- IJCAI18-Commonsense Knowledge Aware Conversation Generation with Graph Attention
- AAAI18-Emotional Chatting Machine Emotional Conversation Generation with Internal and External Memory
- EMNLP18-Learning Neural Templates for Text Generation
- ACL18-Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
- ACL17-Semi-Supervised QA with Generative Domain-Adaptive Nets
- ACL17-Deep Multitask Learning for Semantic Dependency Parsing