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ORCIDQiang Ning
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2020 – today
- 2020
[c20]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. ACL 2020: 7579-7589- [c19]Hangfeng He, Qiang Ning, Dan Roth:
QuASE: Question-Answer Driven Sentence Encoding. ACL 2020: 8743-8758 - [c18]Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie:
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. EMNLP (Demos) 2020: 127-134 - [c17]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. EMNLP (1) 2020: 1158-1172 - [c16]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:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c15]Kaifu Wang, Qiang Ning, Dan Roth:
Learnability with Indirect Supervision Signals. NeurIPS 2020 - [i19]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:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i18]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. CoRR abs/2005.00242 (2020) - [i17]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. CoRR abs/2005.04304 (2020) - [i16]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreshadowing the Benefits of Incidental Supervision. CoRR abs/2006.05500 (2020) - [i15]Kaifu Wang, Qiang Ning, Dan Roth:
Learnability with Indirect Supervision Signals. CoRR abs/2006.08791 (2020) - [i14]Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie:
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq. CoRR abs/2010.06694 (2020) - [i13]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. CoRR abs/2010.12753 (2020)
2010 – 2019
- 2019
- [c14]Haoruo Peng, Qiang Ning, Dan Roth:
KnowSemLM: A Knowledge Infused Semantic Language Model. CoNLL 2019: 550-562 - [c13]Rujun Han, Qiang Ning, Nanyun Peng:
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. EMNLP/IJCNLP (1) 2019: 434-444 - [c12]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. EMNLP/IJCNLP (1) 2019: 3361-3367 - [c11]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) 2019: 6202-6208 - [c10]Eric Graves, Qiang Ning, Prithwish Basu:
An information theoretic model for summarization, and some basic results. ISIT 2019: 502-506 - [c9]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. NAACL-HLT (1) 2019: 2190-2200 - [i12]Eric Graves, Qiang Ning, Prithwish Basu:
An information theoretic model for summarization, and some basic results. CoRR abs/1901.06376 (2019) - [i11]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. CoRR abs/1906.04937 (2019) - [i10]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language Text. CoRR abs/1906.04940 (2019) - [i9]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. CoRR abs/1906.04941 (2019) - [i8]Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. CoRR abs/1906.04943 (2019) - [i7]Hangfeng He, Qiang Ning, Dan Roth:
Incidental Supervision from Question-Answering Signals. CoRR abs/1909.00333 (2019) - [i6]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. CoRR abs/1909.00429 (2019) - [i5]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. CoRR abs/1909.03065 (2019) - [i4]Rujun Han, Qiang Ning, Nanyun Peng:
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. CoRR abs/1909.05360 (2019) - 2018
- [c8]Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. ACL (1) 2018: 1318-1328 - [c7]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. ACL (1) 2018: 2278-2288 - [c6]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language. EMNLP (Demonstration) 2018: 72-77 - [c5]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:
CogCompNLP: Your Swiss Army Knife for NLP. LREC 2018 - [c4]Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. NAACL-HLT 2018: 841-851 - [c3]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT 2018: 148-153 - [i3]Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. CoRR abs/1804.06020 (2018) - [i2]Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. CoRR abs/1804.07828 (2018) - [i1]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data for Temporal Relation Extraction. CoRR abs/1804.08420 (2018) - 2017
- [j2]Qiang Ning, Chao Ma, Fan Lam, Zhi-Pei Liang:
Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints. IEEE Trans. Biomed. Eng. 64(5): 1178-1186 (2017) - [c2]Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. EMNLP 2017: 1027-1037 - 2015
- [c1]Qiang Ning, Chao Ma, Zhi-Pei Liang:
Spectral estimation for magnetic resonance spectroscopic imaging with spatial sparsity constraints. ISBI 2015: 1482-1485 - 2013
- [j1]Qiang Ning, Kan Chen, Li Yi, Chuchu Fan
, Yao Lu, Jiangtao Wen:
Image Super-Resolution Via Analysis Sparse Prior. IEEE Signal Process. Lett. 20(4): 399-402 (2013)
Coauthor Index
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