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DLG4NLP - 2022
Total Papers:- 9
Total Papers accross all years:- 9
Total Citations :- 0
1
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li |
Aosong Feng |
Hao Wu |
Tianxiao Li |
Toyotaro Suzumura |
Ruihai Dong |
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Wenhao Yu |
Chenguang Zhu |
Lianhui Qin |
Zhihan Zhang |
Tong Zhao |
Meng Jiang |
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers
Changmao Li |
Jeffrey Flanigan |
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question Answering
Zhenyun Deng |
Yonghua Zhu |
Qianqian Qi |
Michael Witbrock |
Patricia Riddle |
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning
Adyasha Maharana |
Mohit Bansal |
Continuous Temporal Graph Networks for Event-Based Graph Data
Jin Guo |
Zhen Han |
Su Zhou |
Jiliang Li |
Volker Tresp |
Yuyi Wang |
Graph Neural Networks for Adapting Off-the-shelf General Domain Language Models to Low-Resource Specialised Domains
Merieme Bouhandi |
Emmanuel Morin |
Thierry Hamon |
Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models
Woo Suk Choi |
Yu-Jung Heo |
Dharani Punithan |
Byoung-Tak Zhang |
Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)
Lingfei Wu |
Bang Liu |
Rada Mihalcea |
Jian Pei |
Yue Zhang |
Yunyao Li |
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