Qiang Ning

According to our database, Qiang Ning authored at least 44 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Analyzing Nobel Prize Literature with Large Language Models.

Zhenyuan Yang, Zhengliang Liu, Jian Zhang, Lu Cen, Tai Jiaxin, Zhong Tianyang, Li Yiwei, Zhao Siyan, Yao Teng, Liu Qing, Yang Jinlin, Liu Qixin, Li Zhaowei, Wang Kexin, Ma Longjun, Zhu Dajiang, Ren Yudan, Ge Bao, Zhang Wei, Qiang Ning, Zhang Tuo, Liu Tianming

CoRR, 2024

Open Domain Question Answering with Conflicting Contexts.

Siyi Liu, Qiang Ning, Kishaloy Halder, Wei Xiao, Zheng Qi, Phu Mon Htut, Yi Zhang, Neha Anna John, Bonan Min, Yassine Benajiba, Dan Roth

CoRR, 2024

From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification.

Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth

CoRR, 2024

2023

Indirectly Supervised Natural Language Processing.

Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

2022

Controller Synthesis for Linear System With Reach-Avoid Specifications.

Chuchu Fan, Zengyi Qin, Umang Mathur, Qiang Ning, Sayan Mitra, Mahesh Viswanathan

IEEE Trans. Autom. Control., 2022

Answer Consolidation: Formulation and Benchmarking.

Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Extracting Temporal Event Relation with Syntax-guided Graph Transformer.

Shuaicheng Zhang, Qiang Ning, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

PInKS: Preconditioned Commonsense Inference with Minimal Supervision.

Ehsan Qasemi, Piyush Khanna, Qiang Ning, Muhao Chen

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Biomechanical Design of a Passive Knee Exoskeleton for Adaptive Walking Assistance.

Bo Li, Qiang Ning, JiaHong Liu, Meng Zhou, YuXia Li, Minchao Liu, Ke Xu

Proceedings of the ICBET 2022: 12th International Conference on Biomedical Engineering and Technology, Tokyo, Japan, April 20, 2022

A Meta-framework for Spatiotemporal Quantity Extraction from Text.

Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer.

Shuaicheng Zhang, Lifu Huang, Qiang Ning

CoRR, 2021

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning.

Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng

CoRR, 2021

Temporal Reasoning on Implicit Events from Distant Supervision.

Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Event Time Extraction and Propagation via Graph Attention Networks.

Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning.

Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjamshidi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Foreseeing the Benefits of Incidental Supervision.

Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations.

Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Foreshadowing the Benefits of Incidental Supervision.

Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Learnability with Indirect Supervision Signals.

Kaifu Wang, Qiang Ning, Dan Roth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions.

Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.

Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Temporal Common Sense Acquisition with Minimal Supervision.

Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

QuASE: Question-Answer Driven Sentence Encoding.

Hangfeng He, Qiang Ning, Dan Roth

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Understanding time in natural language text

Qiang Ning

PhD thesis, 2019

Incidental Supervision from Question-Answering Signals.

Hangfeng He, Qiang Ning, Dan Roth

CoRR, 2019

CogCompTime: A Tool for Understanding Time in Natural Language Text.

Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth

CoRR, 2019

Partial Or Complete, That's The Question.

Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An information theoretic model for summarization, and some basic results.

Eric Graves, Qiang Ning, Prithwish Basu

Proceedings of the IEEE International Symposium on Information Theory, 2019

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding.

Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Improved Neural Baseline for Temporal Relation Extraction.

Qiang Ning, Sanjay Subramanian, Dan Roth

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction.

Rujun Han, Qiang Ning, Nanyun Peng

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

KnowSemLM: A Knowledge Infused Semantic Language Model.

Haoruo Peng, Qiang Ning, Dan Roth

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Exploiting Partially Annotated Data in Temporal Relation Extraction.

Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource.

Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

CogCompNLP: Your Swiss Army Knife for NLP.

Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

CogCompTime: A Tool for Understanding Time in Natural Language.

Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Joint Reasoning for Temporal and Causal Relations.

Qiang Ning, Zhili Feng, Hao Wu, Dan Roth

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Multi-Axis Annotation Scheme for Event Temporal Relations.

Qiang Ning, Hao Wu, Dan Roth

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints.

Qiang Ning, Chao Ma, Fan Lam, Zhi-Pei Liang

IEEE Trans. Biomed. Eng., 2017

A Structured Learning Approach to Temporal Relation Extraction.

Qiang Ning, Zhili Feng, Dan Roth

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Spectral estimation for magnetic resonance spectroscopic imaging with spatial sparsity constraints.

Qiang Ning, Chao Ma, Zhi-Pei Liang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Image Super-Resolution Via Analysis Sparse Prior.

Qiang Ning, Kan Chen, Li Yi, Chuchu Fan, Yao Lu, Jiangtao Wen

IEEE Signal Process. Lett., 2013