---
title: "Guangzhou–Foshan — works of 2020 — 8 papers in our library"
description: "8 works of Guangzhou–Foshan from 2020 in our library, the most cited first. Among them: CodeBERT: A Pre-Trained Model for Programming…"
canonical: "https://research.elamur.ai/free/en/agglomerations/guangzhou-foshan/year/2020/"
---
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# Works of Guangzhou–Foshan from 2020

8 works · the most cited first · [← Guangzhou–Foshan](https://md.research.elamur.ai/free/en/agglomerations/guangzhou-foshan/)

1. **[CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyin Feng, Daya Guo, Duyu Tang, et al.*2020 · 2,960 citations*
2. **[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 776 citations*
3. **[Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*
4. **[SemEval-2020 Task 4: Commonsense Validation and Explanation](https://md.research.elamur.ai/free/en/papers/wang-2020-semeval-2020-task-4-commonsense/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Cunxiang Wang, Shuailong Liang, Yili Jin, et al.*2020 · 157 citations*
5. **[GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems](https://md.research.elamur.ai/free/en/papers/huang-2020-grade-automatic-graph-enhanced-coherence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lishan Huang, Zheng Ye, Jinghui Qin, et al.*2020 · 144 citations*
6. **[Multi-Domain Dialogue Acts and Response Co-Generation](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 66 citations*
7. [**Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition arXiv:2003.06044**Zhigang Dai, Jinhua Fu, Qile Zhu, et al.*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-local-contextual-attention-hierarchical-structure/)
8. **[Integrating User History into Heterogeneous Graph for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/wang-2020-integrating-user-history-into-heterogeneous/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Dong Wang, Ziran Li, Haitao Zheng, et al.*2020 · 10 citations*
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