Categories |
NLP
GRAPH NEURAL NETWORKS
GRAPH MACHINE LEARNING
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Call for Papers |
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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. |
Summary |
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DLG4NLP 2022 : NAACL 2022 Workshop on Deep Learning on Graphs for Natural Language Processing will take place in Seattle, Washington, US (Hybrid). It’s a 1 day event starting on Jul 14, 2022 (Thursday) and will be winded up on Jul 14, 2022 (Thursday). DLG4NLP 2022 falls under the following areas: NLP, GRAPH NEURAL NETWORKS, GRAPH MACHINE LEARNING, etc. Submissions for this Workshop can be made by Apr 15, 2022. Authors can expect the result of submission by May 10, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before May 20, 2022 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the DLG4NLP 2022
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Credits and Sources |
| [1] DLG4NLP 2022 : NAACL 2022 Workshop on Deep Learning on Graphs for Natural Language Processing |
