| 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 | 139 | 2018 |
| Graph-based Neural Multi-Document Summarization M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev Conference on Computational Natural Language Learning (CoNLL), 2017 | 123 | 2017 |
| 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 | 73 | 2018 |
| Robust Multilingual Part-of-Speech Tagging via Adversarial Training M Yasunaga, J Kasai, D Radev NAACL 2018, 2017 | 49 | 2017 |
| ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev AAAI 2019, 2019 | 45 | 2019 |
| The CL-SciSumm Shared Task 2018: Results and Key Insights K Jaidka, M Yasunaga, MK Chandrasekaran, D Radev, MY Kan SIGIR--BIRNDL 2018, 2018 | 42 | 2018 |
| 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 | 40 | 2018 |
| Insights from CL-SciSumm 2018: the faceted scientific document summarization Shared Task K Jaidka, M Yasunaga, MK Chandrasekaran, D Radev, MY Kan International Journal on Digital Libraries, 2018 | 38 | 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 | 27* | 2019 |
| Overview and Results: CL-SciSumm Shared Task 2019 MK Chandrasekaran, M Yasunaga, D Radev, D Freitag, MY Kan SIGIR--BIRNDL 2019, 2019 | 24 | 2019 |
| 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 | 16* | 2019 |
| TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts M Yasunaga, JD Lafferty AAAI 2019, 2019 | 8 | 2019 |
| Graph-based, Self-Supervised Program Repair from Diagnostic Feedback M Yasunaga, P Liang ICML 2020, 2020 | 6 | 2020 |
| WILDS: A Benchmark of in-the-Wild Distribution Shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... arXiv preprint arXiv:2012.07421, 2020 | 1 | 2020 |
| Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) MK Chandrasekaran, P Mayr, M Yasunaga, D Freitag, D Radev, MY Kan Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 1 | 2019 |
| A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation I Li, M Yasunaga, MY Nuzumlalı, C Caraballo, S Mahajan, H Krumholz, ... NeurIPS -- ML4H 2019, 2019 | 1 | 2019 |
| EnsembleSync: Reliable Distributed SGD with Less Communication M Xie, M Yasunaga | | 2020 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
