====== Knowledge-Enhanced Methods in NLP ======

===== Overviews =====
  * [[https://arxiv.org/pdf/2010.04389.pdf|Yu et al 2022 - A Survey of Knowledge-Enhanced Text Generation]]
  * [[https://arxiv.org/pdf/2110.08455|Wei et al 2021 - Knowledge Enhanced Pretrained Language Models: A Comprehensive Survey]]
  * [[https://arxiv.org/pdf/2211.05994|Hu et al 2022 - A Survey of Knowledge Enhanced Pre-trained Language Models]]

===== Papers =====
==== General Papers ====
  * [[https://arxiv.org/pdf/2010.12872.pdf|Raman et al 2020 - Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation]]

==== Knowledge-Grounded Question Answering ====
  * [[https://arxiv.org/pdf/1909.02151.pdf|Lin et al 2019 - KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning]]
  * [[https://arxiv.org/pdf/2010.12872.pdf|Raman et al 2020 - Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation]]
  * [[https://arxiv.org/pdf/2110.03192.pdf|Wang et al 2021 - GNN is a Counter? Revisiting GNN for Question Answering]]
  * [[https://arxiv.org/pdf/2201.08860.pdf|Zhang et al 2022 - GreaseLM: Graph REASoning Enhanced Language Models for Question Answering]]

===== Tutorials =====
  * [[https://kenlg-tutorial.github.io/|Knowledge-enriched Natural Language Generation]] at EMNLP 2021 [[https://underline.io/events/192/sessions?eventSessionId=7843|video]] [[https://github.com/wyu97/KENLG-Reading|reading list]]

===== People =====
  * [[https://scholar.google.com/citations?user=z7GCqT4AAAAJ&hl=en|Heng Ji]]
  * [[https://wyu97.github.io/|Wenhao Yu]]

===== Related Pages =====
  * [[ml:graph_nn|Graph Neural Networks]]
  * [[Neurosymbolic Methods]]