Slideshare (11): Graph Neural Networks and Applications in NLP

Check out my class talk slides about Graph Neural Networks and their applications in NLP!

Covered materials:

• Semi-Supervised Classification with Graph Convolutional Networks
• Variational Graph Auto-Encoders
• Graph Attention Networks
• Graph Convolutional Networks for Text Classification (AAAI 2019)
• Heterogeneous Graph Neural Networks for Extractive Document Summarization (ACL 2020)
• A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction (ACL 2020)

My related works:

• R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
  Irene Li, Alexander Fabbri, Swapnil Hingmire, and Dragomir Radev
  COLING, 2020. Github

• What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning 
  Irene Li, Alexander Fabbri, Robert Tung, and Dragomir Radev
  Proceedings of AAAI 2019, Dataset  BLOG