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DLG4NLP 2022 : NAACL 2022 Workshop on Deep Learning on Graphs for Natural Language Processing

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Link: https://dlg4nlp-workshop.github.io/dlg4nlp-naacl22/
 
When Jul 14, 2022 - Jul 14, 2022
Where Seattle, Washington, US (Hybrid)
Submission Deadline Apr 15, 2022
Notification Due May 10, 2022
Final Version Due May 20, 2022
Categories    NLP   graph neural networks   graph machine learning
 

Call For Papers

We invite submission of papers describing innovative research and applications around the following topics. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain is encouraged. Topics include (but not limited to) the following:

* Automatic graph construction for NLP
* Graph representation learning for NLP
* Graph2seq, graph2tree, and graph2graph models for NLP
* Deep reinforcement learning on graphs for NLP
* Adversarial deep learning on graphs for NLP
* GNN based representation learning on knowledge graphs

Please check the website of the workshop for more information.

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