Matt Gardner - RankMe

127 papers A* 15Journal 59Unranked 53

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) Shivanshu Gupta, Matt Gardner, Sameer Singh
2023	J	`jnl`	Coverage-based Example Selection for In-Context Learning. CoRR Shivanshu Gupta, Matt Gardner, Sameer Singh
2023	J	`jnl`	QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. Anna Rogers, Matt Gardner, Isabelle Augenstein
2022	—	`conf`	A Meta-framework for Spatiotemporal Quantity Extraction from Text. ACL (1) Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner
2022	A*	`conf`	CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. EMNLP Abhilasha Ravichander, Matt Gardner, Ana Marasovic
2022	J	`jnl`	CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. CoRR Abhilasha Ravichander, Matt Gardner, Ana Marasovic
2022	—	`conf`	Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. NAACL-HLT Akari Asai, Matt Gardner, Hannaneh Hajishirzi
2022	—	`conf`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	J	`jnl`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	—	`conf`	Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022	J	`jnl`	Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022	—	`conf`	ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2022	J	`jnl`	ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2022	—	`conf`	Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022	J	`jnl`	Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	—	`conf`	Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	A*	`conf`	Successive Prompting for Decomposing Complex Questions. EMNLP Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	J	`jnl`	Successive Prompting for Decomposing Complex Questions. CoRR Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	—	`conf`	Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2022	—	`conf`	When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. ACL (2) Orion Weller, Kevin D. Seppi, Matt Gardner
2022	J	`jnl`	When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR Orion Weller, Kevin D. Seppi, Matt Gardner
2021	—	`conf`	A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
2021	J	`jnl`	A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
2021	—	`conf`	COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
2021	J	`jnl`	COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
2021	—	`conf`	Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021	J	`jnl`	Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021	—	`conf`	Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
2021	J	`jnl`	Documenting the English Colossal Clean Crawled Corpus. CoRR Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
2021	—	`conf`	Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) Nitish Gupta, Sameer Singh, Matt Gardner
2021	J	`jnl`	Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR Nitish Gupta, Sameer Singh, Matt Gardner
2021	J	`jnl`	Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. CoRR Akari Asai, Matt Gardner, Hannaneh Hajishirzi
2021	—	`conf`	Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021	J	`jnl`	Generative Context Pair Selection for Multi-hop Question Answering. CoRR Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021	J	`jnl`	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2021	—	`conf`	Learning with Instance Bundles for Reading Comprehension. EMNLP (1) Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021	J	`jnl`	Learning with Instance Bundles for Reading Comprehension. CoRR Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021	—	`conf`	Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) Ansong Ni, Matt Gardner, Pradeep Dasigi
2021	J	`jnl`	Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR Ansong Ni, Matt Gardner, Pradeep Dasigi
2021	—	`conf`	Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021	J	`jnl`	Paired Examples as Indirect Supervision in Latent Decision Models. CoRR Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021	J	`jnl`	QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR Anna Rogers, Matt Gardner, Isabelle Augenstein
2021	J	`jnl`	Tailor: Generating and Perturbing Text with Semantic Controls. CoRR Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2020	A*	`conf`	Benefits of Intermediate Annotations in Reading Comprehension. ACL Dheeru Dua, Sameer Singh, Matt Gardner
2020	J	`jnl`	Break It Down: A Question Understanding Benchmark. CoRR Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant
2020	J	`jnl`	Break It Down: A Question Understanding Benchmark. Trans. Assoc. Comput. Linguistics Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant
2020	A*	`conf`	Dynamic Sampling Strategies for Multi-Task Reading Comprehension. ACL Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner
2020	—	`conf`	Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. EMNLP (Demos) Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
2020	J	`jnl`	Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq. CoRR Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
2020	—	`conf`	Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 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
2020	J	`jnl`	Evaluating NLP Models via Contrast Sets. CoRR 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
2020	—	`conf`	IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. EMNLP (1) James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
2020	J	`jnl`	IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. CoRR James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
2020	—	`conf`	Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	J	`jnl`	Improving Compositional Generalization in Semantic Parsing. CoRR Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	—	`conf`	Interpreting Predictions of NLP Models. EMNLP (Tutorial Abstracts) Eric Wallace, Matt Gardner, Sameer Singh
2020	J	`jnl`	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2020	—	`conf`	Learning from Task Descriptions. EMNLP (1) Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
2020	J	`jnl`	Learning from Task Descriptions. CoRR Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
2020	—	`conf`	MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020	J	`jnl`	MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020	—	`conf`	MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020	J	`jnl`	MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020	—	`conf`	Multi-Step Inference for Reasoning Over Paragraphs. EMNLP (1) Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata
2020	J	`jnl`	Multi-Step Inference for Reasoning Over Paragraphs. CoRR Jiangming Liu, Matt Gardner
2020	A*	`conf`	Neural Module Networks for Reasoning over Text. ICLR Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2020	A*	`conf`	Obtaining Faithful Interpretations from Compositional Neural Networks. ACL Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020	J	`jnl`	Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020	A*	`conf`	On Importance Sampling-Based Evaluation of Latent Language Models. ACL Robert L. Logan IV, Matt Gardner, Sameer Singh
2020	—	`conf`	TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. EMNLP (1) Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth
2020	J	`jnl`	TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. CoRR Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth
2020	J	`jnl`	Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution. CoRR Zhaofeng Wu, Matt Gardner
2019	—	`conf`	AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019	J	`jnl`	AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019	—	`conf`	Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS Sanjay Subramanian, Sameer Singh, Matt Gardner
2019	—	`conf`	Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	J	`jnl`	Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	—	`conf`	Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	J	`jnl`	Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	—	`conf`	Comprehensive Multi-Dataset Evaluation of Reading Comprehension. MRQA@EMNLP Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner
2019	—	`conf`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	J	`jnl`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	—	`conf`	Do NLP Models Know Numbers? Probing Numeracy in Embeddings. EMNLP/IJCNLP (1) Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019	J	`jnl`	Do NLP Models Know Numbers? Probing Numeracy in Embeddings. CoRR Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019	—	`conf`	Evaluating Question Answering Evaluation. MRQA@EMNLP Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	—	`conf`	Global Reasoning over Database Structures for Text-to-SQL Parsing. EMNLP/IJCNLP (1) Ben Bogin, Matt Gardner, Jonathan Berant
2019	J	`jnl`	Global Reasoning over Database Structures for Text-to-SQL Parsing. CoRR Ben Bogin, Matt Gardner, Jonathan Berant
2019	J	`jnl`	Grammar-based Neural Text-to-SQL Generation. CoRR Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner
2019	—	`conf`	Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy
2019	—	`conf`	Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Linguistic Knowledge and Transferability of Contextual Representations. CoRR Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Neural Module Networks for Reasoning over Text. CoRR Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2019	J	`jnl`	ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. CoRR Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner
2019	—	`conf`	On Making Reading Comprehension More Comprehensive. MRQA@EMNLP Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
2019	A*	`conf`	QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2019	—	`conf`	QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. EMNLP/IJCNLP (1) Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019	J	`jnl`	QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. CoRR Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019	J	`jnl`	Question Answering is a Format; When is it Useful? CoRR Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
2019	—	`conf`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2019	J	`jnl`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2019	—	`conf`	Reasoning Over Paragraph Effects in Situations. MRQA@EMNLP Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
2019	J	`jnl`	Reasoning Over Paragraph Effects in Situations. CoRR Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
2019	—	`conf`	Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. ACL (1) Ben Bogin, Jonathan Berant, Matt Gardner
2019	J	`jnl`	Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. CoRR Ben Bogin, Matt Gardner, Jonathan Berant
2019	—	`conf`	Universal Adversarial Triggers for Attacking and Analyzing NLP. EMNLP/IJCNLP (1) Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
2019	J	`jnl`	Universal Adversarial Triggers for NLP. CoRR Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
2018	J	`jnl`	AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
2018	—	`conf`	Deep Contextualized Word Representations. NAACL-HLT Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
2018	J	`jnl`	Deep contextualized word representations. CoRR Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
2018	—	`conf`	Neural Semantic Parsing. ACL (5) Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
2018	J	`jnl`	QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2018	—	`conf`	Simple and Effective Multi-Paragraph Reading Comprehension. ACL (1) Christopher Clark, Matt Gardner
2018	A*	`conf`	Structured Alignment Networks for Matching Sentences. EMNLP Yang Liu, Matt Gardner, Mirella Lapata
2017	—	`conf`	Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP Johannes Welbl, Nelson F. Liu, Matt Gardner
2017	J	`jnl`	Crowdsourcing Multiple Choice Science Questions. CoRR Johannes Welbl, Nelson F. Liu, Matt Gardner
2017	A*	`conf`	Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. EMNLP Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner
2017	A*	`conf`	Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. AAAI Matt Gardner, Jayant Krishnamurthy
2017	J	`jnl`	Simple and Effective Multi-Paragraph Reading Comprehension. CoRR Christopher Clark, Matt Gardner
2016	J	`jnl`	Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. CoRR Matt Gardner, Jayant Krishnamurthy
2015	—	`conf`	CMUML System for KBP 2015 Cold Start Slot Filling. TAC Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
2015	—	`conf`	Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell
2015	A*	`conf`	Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. EMNLP Matt Gardner, Tom M. Mitchell
2015	A*	`conf`	Translation Invariant Word Embeddings. EMNLP Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu
2014	A*	`conf`	Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. EMNLP Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell
2013	—	`conf`	CMUML System for KBP 2013 Slot Filling. TAC Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell
2013	A*	`conf`	Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. EMNLP Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell