NAACL 2021 上的图神经网络好文

NAACL 2021

1. Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks. Minh Van Nguyen, Viet Lai and Thien Huu Nguyen. NAACL 2021 [pdf] 基于GCN进行实体表示与信息抽取的联合任务学习

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1. Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction. Zixuan Zhang and Heng Ji. NAACL 2021 [pdf]

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1. Event Time Extraction and Propagation via Graph Attention Networks. Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong and Dan Roth. NAACL 2021 [pdf] 基于Graph Attention Networks的事件时间抽取

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1. SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation. Luigi Procopio, Rocco Tripodi and Roberto Navigli. NAACL 2021 [pdf] 基于Gaph描述的依存句法解析

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1. Neural Language Modeling for Contextualized Temporal Graph Generation. Aman Madaan and Yiming Yang. NAACL 2021 [pdf] 基于时序Graph的语言模型，可以用于Graph生成

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1. Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li and Andrew McCallum. NAACL 2021 [pdf]
2. MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences. Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria and Louis-Philippe Morency. NAACL 2021 [pdf]
3. Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network. Fan Jiang and Trevor Cohn. NAACL 2021 [pdf]
4. Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network. Haoran Wu, Wei Chen, Shuang Xu and Bo Xu. NAACL 2021 [pdf]
5. Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming. Soham Datta, Prabir Mallick, Sangameshwar Patil, Indrajit Bhattacharya and Girish Palshikar. NAACL 2021 [pdf]
6. Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data. Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun and Weiming Lu. NAACL 2021 [pdf]
7. Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. Xutan Peng, Guanyi Chen, Chenghua Lin and Mark Stevenson. NAACL 2021 [pdf]
8. Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri and Jens Lehmann. NAACL 2021 [pdf]
9. Edge: Enriching Knowledge Graph Embeddings with External Text. Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan Rossi, Nedim Lipka and Sheng Li. NAACL 2021 [pdf]
10. Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He and Bowen Zhou. NAACL 2021 [pdf]
11. Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble. Yuanhe Tian, Guimin Chen and Yan Song. NAACL 2021 [pdf]
12. Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures. Minh Tran Phu and Thien Huu Nguyen. NAACL 2021 [pdf]
13. Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. Oshin Agarwal, Heming Ge, Siamak Shakeri and Rami Al-Rfou. NAACL 2021 [pdf]
14. Inductive Topic Variational Graph Auto-Encoder for Text Classification. Qianqian Xie, Jimin Huang, Pan Du, Min Peng and Jian-Yun Nie. NAACL 2021 [pdf]
15. Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi and Markus Dreyer. NAACL 2021 [pdf]

聚类文档的表示学习

1. Modeling Human Mental States with an Entity-based Narrative Graph. I-Ta Lee, Maria Leonor Pacheco and Dan Goldwasser. NAACL 2021 [pdf]
2. ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser. Zhi Chen, Lu Chen, Yanbin Zhao, Ruisheng Cao, Zihan Xu, Su Zhu and Kai Yu. NAACL 2021 [pdf]
3. RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion. Youri Xu, Haihong E, Meina Song, Wenyu Song, Xiaodong Lv, Wang Haotian and Yang Jinrui. NAACL 2021 [pdf]
4. Breadth First Reasoning Graph for Multi-hop Question Answering. Yongjie Huang and Meng Yang. NAACL 2021 [pdf]
5. Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang and Daxin Jiang. NAACL 2021 [pdf] 26 . DAGN: Discourse-Aware Graph Network for Logical Reasoning. Yinya Huang, Meng Fang, Yu Cao, Liwei Wang and Xiaodan Liang. NAACL 2021 [pdf]