Matt Gardner

Papers

• QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
  Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal. AAAI 2019
• AllenNLP: A Deep Semantic Natural Language Processing Platform
  Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke S. Zettlemoyer. NLP-OSS@ACL 2018
• Deep contextualized word representations
  Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke S. Zettlemoyer. NAACL 2018. Best Paper Award
• Structured Alignment Networks for Matching Sentences
  Yang Liu, Matt Gardner, Mirella Lapata. EMNLP 2018
• Simple and Effective Multi-Paragraph Reading Comprehension
  Christopher Clark, Matt Gardner. ACL 2018
• Crowdsourcing Multiple Choice Science Questions
  Johannes Welbl, Nelson Liu, Matt Gardner. NUT@EMNLP 2017
• Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
  Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner. EMNLP 2017
• Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge.
  Matt Gardner, Jayant Krishnamurthy . AAAI 2017
• Never Ending Learning
  T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling. AAAI 2015
• Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
  Matt Gardner and Tom M. Mitchell. EMNLP 2015
• Translation Invariant Word Embeddings
  Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu. EMNLP 2015
• Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
  Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell. EMNLP 2014
• Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text
  Matt Gardner, Partha Talukdar, Tom M. Mitchell. AAAI Spring Symposium, 2014
• Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues
  Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell. EMNLP 2013
• A speculative approach to parallelization in particle swarm optimization
  Matt Gardner, Andrew W. McNabb, Kevin D. Seppi. Swarm Intelligence, 2012
• Speculative Evaluation in Particle Swarm Optimization
  Matt Gardner, Andrew W. McNabb, Kevin D. Seppi. PPSN 2010
• An exploration of topologies and communication in large particle swarms
  Andrew W. McNabb, Matt Gardner, Kevin D. Seppi. CEC 2009