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Sheng Zhang 0012
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD 2020): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Sheng Zhang — disambiguation page
- Sheng Zhang 0001 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Sheng Zhang 0002 — Bohai University, School of Mathematics and Physics, Jinzhou, China (and 1 more)
- Sheng Zhang 0003 — Tsinghua University, Key Laboratory of Advanced Sensor and Integrated System, Shenzhen, China
- Sheng Zhang 0004 — Dartmouth College, Hanover, NH, USA
- Sheng Zhang 0005 — Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
- Sheng Zhang 0006 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 2 more)
- Sheng Zhang 0007 — Google, Menlo Park, CA. USA (and 2 more)
- Sheng Zhang 0008 — Broadcom Corporation, Santa Clara, CA, USA
- Sheng Zhang 0009 — University of Electronic Science and Technology of China, Chengdu, China
- Sheng Zhang 0010 — Zhejiang Normal University, Jinhua, China (and 1 more)
- Sheng Zhang 0011 — Nanchang Hangkong University, Nanchang, China
- Sheng Zhang 0013 — Wayne State Unviersity, Detroit, MI, USA
- Sheng Zhang 0014 — Academy of National Defense Information, Wuhan, China
- Sheng Zhang 0015 — Inner Mongolia Agricultural University, Hohhot, China
- Sheng Zhang 0016 — Chinese People's Liberation Army, Nanjing, Jiangsu, China
- Sheng Zhang 0017 — Nankai University, Tianjin, China
- Sheng Zhang 0018 — China University of Geosciences, Beijing, China
- Sheng Zhang 0019 — Nanjing University of Posts and Telecommunications, China
- Sheng Zhang 0021 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China (and 3 more)
- Sheng Zhang 0022 — National University of Defense Technology, Changsha, China
- Sheng Zhang 0023 — Institute for Infocomm Research, Singapore (and 1 more)
- Sheng Zhang 0024 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Sheng Zhang 0025 — China Aerodynamics Research and Development Center, Computational Aerodynamics Institution, Mianyang, China
- Sheng Zhang 0026 — Wuhan University, Department of Artificial Intelligence and Automation, School of Electrical Engineering and Automation, China
- Sheng Zhang 0027 — North Carolina State University, Department of Statistics, Raleigh, NC, USA (and 1 more)
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2020 – today
- 2024
- [c33]Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé:
DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) 2024: 649-679 - [c32]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR 2024 - [i41]Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR abs/2403.01002 (2024) - [i40]Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i39]James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen:
Offset Unlearning for Large Language Models. CoRR abs/2404.11045 (2024) - [i38]Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz:
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR abs/2406.06573 (2024) - [i37]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i36]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR abs/2406.11839 (2024) - [i35]Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen:
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR abs/2407.00902 (2024) - 2023
- [j4]Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11: 1097-1113 (2023) - [c31]Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. ACL (Findings) 2023: 1327-1343 - [c30]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 2023: 2333-2346 - [c29]Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng:
Benchmarking Diverse-Modal Entity Linking with Generative Models. ACL (Findings) 2023: 7841-7857 - [c28]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) 2023: 13249-13263 - [c27]Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston:
Interactive Span Recommendation for Biomedical Text. ClinicalNLP@ACL 2023: 373-384 - [c26]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. EMNLP (Findings) 2023: 14544-14556 - [c25]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR 2023 - [c24]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023 - [c23]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR 2023 - [c22]Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández:
Precision Health in the Age of Large Language Models. KDD 2023: 5825-5826 - [c21]Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC 2023: 846-862 - [c20]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS 2023 - [i34]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR abs/2301.08881 (2023) - [i33]Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P. Lungren, Tristan Naumann, Hoifung Poon:
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR abs/2303.00915 (2023) - [i32]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. CoRR abs/2303.11315 (2023) - [i31]Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR abs/2303.13386 (2023) - [i30]Wuwei Lan, Zhiguo Wang, Anuj Chauhan, Henghui Zhu, Alexander Hanbo Li, Jiang Guo, Sheng Zhang, Chung-Wei Hang, Joseph Lilien, Yiqun Hu, Lin Pan, Mingwen Dong, Jun Wang, Jiarong Jiang, Stephen Ash, Vittorio Castelli, Patrick Ng, Bing Xiang:
UNITE: A Unified Benchmark for Text-to-SQL Evaluation. CoRR abs/2305.16265 (2023) - [i29]Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng:
Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR abs/2305.17337 (2023) - [i28]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR abs/2305.18842 (2023) - [i27]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR abs/2306.00890 (2023) - [i26]Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon:
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. CoRR abs/2307.06439 (2023) - [i25]Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. CoRR abs/2308.02180 (2023) - [i24]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR abs/2308.03279 (2023) - [i23]Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon:
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR abs/2310.10765 (2023) - [i22]Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon:
Enhancing Medical Text Evaluation with GPT-4. CoRR abs/2311.09581 (2023) - [i21]Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - 2022
- [j3]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23(6) (2022) - [c19]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) 2022: 868-880 - [i20]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR abs/2208.14565 (2022) - [i19]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. CoRR abs/2210.00063 (2022) - [i18]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR abs/2210.10341 (2022) - [i17]Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR abs/2212.08785 (2022) - [i16]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR abs/2212.10823 (2022) - 2021
- [j2]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - [c18]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) 2021: 5291-5302 - [i15]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i14]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. CoRR abs/2109.05362 (2021) - [i13]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervised Entity Linking. CoRR abs/2112.07887 (2021) - 2020
- [c17]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Universal Decompositional Semantic Parsing. ACL 2020: 8427-8439 - [c16]Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707
2010 – 2019
- 2019
- [c15]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. ACL (1) 2019: 80-94 - [c14]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) 2019: 3784-3796 - [c13]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [c12]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL 2019: 1-6 - [i12]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i11]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. CoRR abs/1905.08704 (2019) - [i10]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. CoRR abs/1909.02607 (2019) - [i9]Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR abs/1909.13851 (2019) - [i8]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. CoRR abs/1910.10138 (2019) - 2018
- [c11]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural-Davidsonian Semantic Proto-role Labeling. EMNLP 2018: 944-955 - [c10]Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c9]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [c8]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT 2018: 173-179 - [i7]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural Davidsonian Semantic Proto-role Labeling. CoRR abs/1804.07976 (2018) - [i6]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR abs/1804.08000 (2018) - [i5]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Cross-lingual Semantic Parsing. CoRR abs/1804.08037 (2018) - [i4]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - [i3]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - 2017
- [j1]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017) - [c7]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) 2017: 64-70 - [c6]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) 2017: 832-842 - [c5]Sheng Zhang, Rachel Rudinger, Benjamin Van Durme:
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) 2017 - [i2]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. CoRR abs/1702.02519 (2017) - 2016
- [c4]Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Universal Decompositional Semantics on Universal Dependencies. EMNLP 2016: 1713-1723 - [i1]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. CoRR abs/1611.00601 (2016) - 2015
- [c3]Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao:
What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. AAAI 2015: 4222-4223 - [c2]Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao:
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. ACL (2) 2015: 225-230 - 2014
- [c1]Kun Xu, Sheng Zhang, Yansong Feng, Dongyan Zhao:
Answering Natural Language Questions via Phrasal Semantic Parsing. NLPCC 2014: 333-344
Coauthor Index
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