Read papers in other fields whenever possible.
Read papers from other conferences whenever possible.
Read as many papers as possible.
- What I Have Read
- Event Extraction
- Meta Learning
- Advanced pre-training language models a brief introduction
- Graph Neural Networks
- Knowledge Distillation
- Non-Autoregressive Decoding
- 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