Eugene Charniak Jack and Janet in search of a theory of knowledge.
Hector J. Levesque The Winograd Schema Challenge
Dan Roth and Wen-tau Yih A Linear Programming Formulation for Global Inference in Natural Language Tasks
W.A. Woods Whats in a Link: Foundations of Semantic Networks
Hector J. Levesque and Ronald J. Brachman A Fundamental Tradeoff in Knowledge Representation and Reasoning
John McCarthy Programs with Common Sense Semantic Information Processing 1968
John McCarthy An Example for Natural Language Understanding and the AI Problems it Raises 1976
Robert C. Moore The Role of Logic in Knowledge Representation and Commonsense Reasoning AAAI 1982
Geoffrey Nunberg Position Paper on Common-sense and Formal Semantics TINLAP 1987
Jerry R. Hobbs, W. Croft and T. Davies Commonsense Metaphysics and Lexical Semantics Computational Linguistics, 1987
Kathleen Dahlgren and J. McDowell and Edward P. Stabler, Jr. Knowledge Representaion for Commonsense Reasoning with Text Computational Linguistics, 1989
Lawrence Birnbaum Rigor mortis: a response to Nilssons Logic and artificial intelligence
Dan Roth Learning to Reason: The Approach
Rodney A. Brooks Intelligence without representation
Schubert, Pelletier From English to Logic: Context Free Computation of Conventional Logical Translations
Hobbs et al. Interpretation as abduction Computational Linguistics, 1989
Robert Moore Problems in Logical Forms
Ngo, Haddawy Probabilistic Logic Programming and Bayesian Networks
Luc De Raedt and Angelika Kimmig Probabilistic (logic) programming concepts
Raymond Mooney and Gerald DeJong Learning Schemata for Natural Language Processing
Michele Banko et al. Open Information Extraction from the Web IJCAI 2007
Fabian M. Suchanek et al. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia WWW 2007
Nathanael Chambers and Dan Jurafsky Unsupervised Learning of Narrative Schemas and their Participants ACL 2009
Jonathan Berant, I. Dagan and J. Goldberger Global learning of focused entailment graphs ACL 2010
Jonathan Berant, I. Dagan and J. Goldberger Global Learning of Typed Entailment Rules ACL 2011
Zornitsa Kozareva and E. Hovy Learning Temporal Information for States and Events ICSC 2011
Niket Tandon, G. Melo and G. Weikum Acquiring Comparative Commonsense Knowledge from the Web AAAI 2014
Gabor Angeli et al. Leveraging Linguistic Structure For Open Domain Information Extraction ACL 2015
Tanja Samardzic and Paola Merlo Aspect-based Learning of Event Duration Using Parallel Corpora 2016
Erdal Kuzey, V. Setty, J. Strotgen and G. Weikum As Time Goes By - Comprehensive Tagging of Textual Phrases with Temporal Scopes WWW 2016
Mark Granroth-Wilding and Stephen Clark What Happens Next? Event Prediction Using a Compositional Neural Network Model AAAI 2016
Maxwell Forbes and Yejin Choi Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017
Zhongqing Wang, Y. Zhang and C. Chang Integrating Order Information and Event Relation for Script Event Prediction EMNLP 2017
Qiang Ning, H. Wu, H. Peng and D. Roth Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018
Yiben Yang, L. Birnbaum, J. Wang and D. Downey Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018
Shib Sankar Dasgupta, S. N. Ray and P. Talukdar HyTE - Hyperplane-based Temporally aware Knowledge Graph Embedding EMNLP 2018
Olivia Winn and S. Muresan Lighter Can Still Be Dark: Modeling Comparative Color Descriptions ACL 2018
Abhijit Mahabal et al. Robust Handling of Polysemy via Sparse Representations StarSEM 2018
Maarten Sap et al. ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning AAAI 2019
Bill MacCartney and C. Manning Natural Logic for Textual Inference ACL Workshop on Textual Entailment and Paraphrasing 2007
Hoifung Poon and Pedro Domingos Unsupervised Semantic Parsing, EMNLP 2009
James Clarke et al. Driving Semantic Parsing from the World’s Response CoNLL 2010
Islam Beltagy et al. Montague Meets Markov: Deep Semantics with Probabilistic Logical Form StarSEM 2013
Gerard de Melo and Mohit Bansal Good, Great, Excellent: Global Inference of Semantic Intensities TACL 2013
Sebastian Riedel et al. Relation Extraction with Matrix Factorization and Universal Schemas NAACL 2013
Matt Gardner et al. Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases EMNLP 2014
Gabor Angeli and C. Manning NaturalLI - Natural Logic Inference for Common Sense Reasoning EMNLP 2014
Jayant Krishnamurthy and Tom M. Mitchell Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary TACL 2015
Jacob Andreas et al. Learning to Compose Neural Networks for Question Answering NAACL 2016
Arun Tejasvi Chaganty and P. Liang How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions ACL 2016
Georgios P. Spithourakis, I. Augenstein and S. Riedel Numerically Grounded Language Models for Semantic Error Correction EMNLP 2016
Sheng Zhang et al. Ordinal Common-sense Inference TACL 2017
Ashutosh Modi et al. Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction TACL 2017
Shashank Srivastava, I. Labutov and Tom Mitchell Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017
Subhro Roy and Dan Roth Mapping to Declarative Knowledge for Word Problem Solving TACL 2018
Guillem Collell, L. V. Gool and Marie-Francine Moens Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates AAAI 2018
Aida Nematzadeh et al. Evaluating Theory of Mind in Question Answering EMNLP 2018
Trieu H. Trinh and Q.V. Le A Simple Method for Commonsense Reasoning ArXiv 2018
Ali Emami et al. A Knowledge Hunting Framework for Common Sense Reasoning EMNLP 2018
Shaohua Yang, Q. Gao, S. Saba-Sadiya and J. Y. Chai Commonsense Justification for Action Explanation EMNLP 2018
Lisa Bauer, Y. Wang and M. Bansal Commonsense for Generative Multi-Hop Question Answering Tasks EMNLP 2018
Drew A. Hudson and C. Manning Compositional Attention Networks For Machine Reasoning ICLR 2018
Qiaozi Gao, S. Yang, J. Y. Chai and L. Vanderwende What Action Causes This? Towards Naive Physical Action-Effect Prediction ACL 2018
Georgios P. Spithourakis and Sebastian Riedel Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers ACL 2018
Ranjay Krishna et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations IJCV 2016
Rowan Zellers, Y. Bisk, R. Schwartz and Y. Choi SWAG - A Large-Scale Adversarial Dataset for Grounded Commonsense Inference EMNLP 2018
Hannah Rashkin, A. Bosselut, M. Sap, K. Knight and Y. Choi Modeling Naive Psychology of Characters in Simple Commonsense Stories ACL 2018
Alon Talmor et al. CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge NAACL 2019
Geoffrey Nunberg Position Paper on Common-sense and Formal Semantics TINLAP 1987
Brenden M. Lake, T. D. Ullman, J.B. Tenenbaum and J. Gershman Building Machines That Learn and Think Like People Behavioral and Brain Sciences 2016
Clive Thompson How to teach Artificial Intelligence some Common Sense WIRED 2018