🏙️ Works of Shenzhen–Dongguan from 2019

11 works · the most cited first · ← Shenzhen–Dongguan

1. K-BERT: Enabling Language Representation with Knowledge GraphProceedings of the AAAI Conference on Artificial IntelligenceWeijie Liu, Peng Zhou, Zhe Zhao, et al.2019 · 1,014 citations
2. A Challenge Dataset and Effective Models for Aspect-Based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Qingnan Jiang, Lei Chen, Ruifeng Xu, et al.2019 · 395 citations
3. Bridging the Gap between Training and Inference for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Zhang, Yang Feng, Fandong Meng, et al.2019 · 299 citations
4. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Zhou, Xu Han, Cheng Yang, et al.2019 · 288 citations
5. Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big ChallengesConference on Machine Translation (WMT)Qingsong Ma, Johnny Wei, Ondřej Bojar, et al.2019 · 284 citations
6. A Dual Reinforcement Learning Framework for Unsupervised Text Style TransferInternational Joint Conference on Artificial IntelligenceFuli Luo, Peng Li, Jie Zhou, et al.2019 · 266 citations
7. EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Dong, Zichao Li, Mehdi Rezagholizadeh, et al.2019 · 242 citations
8. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eva Sharma, Chen Li, Lu Wang2019 · 235 citations
9. Improving Machine Reading Comprehension with General Reading StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 172 citations
10. Investigating Prior Knowledge for Challenging Chinese Machine Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 133 citations
11. One Model to Learn Both: Zero Pronoun Prediction and TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Longyue Wang, Zhaopeng Tu, Xing Wang, et al.2019 · 41 citations

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