| Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task T Yu, R Zhang, K Yang, M Yasunaga, D Wang, Z Li, J Ma, I Li, Q Yao, ... EMNLP 2018, 2018 | 317 | 2018 |
| Graph-based Neural Multi-Document Summarization M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev CoNLL 2017, 2017 | 201 | 2017 |
| TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation T Yu, Z Li, Z Zhang, R Zhang, D Radev NAACL 2018, 2018 | 161 | 2018 |
| Improving Text-to-SQL Evaluation Methodology C Finegan-Dollak, JK Kummerfeld, L Zhang, KRD Ramanathan, ... ACL 2018, 2018 | 152 | 2018 |
| Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents R Zhang, H Lee, D Radev NAACL 2016, 2016 | 135 | 2016 |
| SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task T Yu, M Yasunaga, K Yang, R Zhang, D Wang, Z Li, D Radev EMNLP 2018, 2018 | 123 | 2018 |
| ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks M Yasunaga, J Kasai, R Zhang, A Fabbri, I Li, D Friedman, D Radev AAAI 2019, 2019 | 102 | 2019 |
| Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions R Zhang, T Yu, HY Er, S Shim, E Xue, XV Lin, T Shi, C Xiong, R Socher, ... EMNLP 2019, 2019 | 80* | 2019 |
| Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering R Zhang, CN dos Santos, M Yasunaga, B Xiang, D Radev ACL 2018, 2018 | 62 | 2018 |
| SParC: Cross-Domain Semantic Parsing in Context T Yu, R Zhang, M Yasunaga, YC Tan, XV Lin, S Li, H Er, I Li, B Pang, ... ACL 2019, 2019 | 57* | 2019 |
| DART: Open-Domain Structured Data Record to Text Generation L Nan, D Radev, R Zhang, A Rau, A Sivaprasad, C Hsieh, X Tang, A Vyas, ... NAACL 2021, 2021 | 47* | 2021 |
| CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ... EMNLP 2019, 2019 | 46* | 2019 |
| Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs R Zhang, H Lee, L Polymenakos, D Radev AAAI 2018, 2018 | 38 | 2018 |
| This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation R Zhang, J Tetreault ACL 2019, 2019 | 26 | 2019 |
| SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing T Yu, R Zhang, O Polozov, C Meek, AH Awadallah ICLR 2021, 2021 | 18 | 2021 |
| Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations R Zhang, C Westerfield, S Shim, G Bingham, A Fabbri, N Verma, W Hu, ... ACL 2019, 2019 | 13 | 2019 |
| ESPRIT: Explaining Solutions to Physical Reasoning Tasks NF Rajani, R Zhang, YC Tan, S Zheng, J Weiss, A Vyas, A Gupta, C Xiong, ... ACL 2020, 2020 | 10 | 2020 |
| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 9 | 2022 |
| Cross-Lingual Training with Dense Retrieval for Document Retrieval P Shi, R Zhang, H Bai, J Lin arXiv preprint arXiv:2109.01628, 2021 | 7* | 2021 |
| Effects of Creativity and Cluster Tightness on Short Text Clustering Performance C Finegan-Dollak, R Coke, R Zhang, X Ye, D Radev ACL 2016, 2016 | 7 | 2016 |
Dragomir RadevProfessor, Computer Science, Yale UniversityE-mail confirmado em yale.edu
