🏙️ Works of Guangzhou–Foshan from 2020

8 works · the most cited first · ← Guangzhou–Foshan

1. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,960 citations
2. Relational Graph Attention Network for Aspect-based Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Wang, Weizhou Shen, Yunyi Yang, et al.2020 · 776 citations
3. Reasoning Over Semantic-Level Graph for Fact CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.2020 · 221 citations
4. SemEval-2020 Task 4: Commonsense Validation and ExplanationInternational Workshop on Semantic Evaluation (SemEval)Cunxiang Wang, Shuailong Liang, Yili Jin, et al.2020 · 157 citations
5. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Lishan Huang, Zheng Ye, Jinghui Qin, et al.2020 · 144 citations
6. Multi-Domain Dialogue Acts and Response Co-GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Wang, Junfeng Tian, Rui Wang, et al.2020 · 66 citations
7. Local Contextual Attention with Hierarchical Structure for Dialogue Act RecognitionarXiv:2003.06044Zhigang Dai, Jinhua Fu, Qile Zhu, et al.2020 · 15 citations
8. Integrating User History into Heterogeneous Graph for Dialogue Act RecognitionInternational Conference on Computational Linguistics (COLING)Dong Wang, Ziran Li, Haitao Zheng, et al.2020 · 10 citations

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