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Selected Notes and Slides
ROUTE
Summarization Route
NOTES
EMNLP19 Summarization
Cross-Lingual Word Embedding
Brief intro to summarization
GAN in Text Generation
EMNLP19 and NIPS19 Notes
Boosting
The Maximum Entropy Model
HMM
ConceptNet
TECHNIQUES
Matplotlib, Notes for Python数据可视化之matplotlib实践
PAPER SLIDES
BrainBERT: Self-supervised representation learning for Intracranial Electrodes
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Memorizing Transformers
One Model, Multiple Tasks: Pathways for Natural Language Understanding
CPT Colorful Prompt Tuning for Pre-trained Vision-Language Models
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Making Pre-trained Language Models Better Few-shot Learners
Group-wise Contrastive Learning for Neural Dialogue Generation
Heterogeneous Graph Transformer
Plug and Play Language Model- A Simple Baseline for Controlled Language Generation
Multimodal Abstractive Summarization for How2 Videos
A Simple Theoretical Model of Importance for Summarization
Text Generation from Knowledge Graphs with Graph Transformers
The Curious Case of Neural Text Degeneration
Episodic Memory in Lifelong Language Learning
DialogueGCN-A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Commonsense for Generative Multi-Hop Question Answering Tasks
Commonsense Knowledge Aware Conversation Generation with Graph Attention
Deep Multitask Learning for Semantic Dependency Parsing
Dynamically Fused Graph Network for Multi-hop Reasoning
Emotional Chatting Machine Emotional Conversation Generation with Internal and External Memory
Learning Neural Templates for Text Generation
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Linguistic Knowledge and Transferability of Contextual Representations
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Semi-Supervised QA with Generative Domain-Adaptive Nets