| 2024 | ACL | When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. | Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun |
| 2024 | EMNLP | CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. | Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney |
| 2023 | ACL | Text-to-SQL Error Correction with Language Models of Code. | Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun |
| 2023 | EMNLP | SAGEViz: SchemA GEneration and Visualization. | Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian |
| 2023 | ICLR | Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. | Albert Yu, Raymond J. Mooney |
| 2023 | ICSE | Learning Deep Semantics for Test Completion. | Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric |
| 2022 | ACL | Impact of Evaluation Methodologies on Code Summarization. | Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric |
| 2022 | ACL | Learning to Describe Solutions for Bug Reports Based on Developer Discussions. | Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney |
| 2022 | EMNLP | Using Commonsense Knowledge to Answer Why-Questions. | Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian |
| 2022 | EMNLP | Using Developer Discussions to Guide Fixing Bugs in Software. | Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney |
| 2022 | EMNLP | Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. | Jialin Wu, Raymond J. Mooney |
| 2022 | FlAIRS | Towards Automated Error Analysis: Learning to Characterize Errors. | Tong Gao, Shivang Singh, Raymond J. Mooney |
| 2021 | AAAI | Dialog Policy Learning for Joint Clarification and Active Learning Queries. | Aishwarya Padmakumar, Raymond J. Mooney |
| 2021 | AAAI | Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. | Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney |
| 2021 | ACL | TellMeWhy: A Dataset for Answering Why-Questions in Narratives. | Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian |
| 2020 | AAAI | Associating Natural Language Comment and Source Code Entities. | Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li |
| 2020 | ACL | Learning to Update Natural Language Comments Based on Code Changes. | Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney |
| 2020 | CoRL | PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. | Prasoon Goyal, Scott Niekum, Raymond J. Mooney |
| 2020 | IJCNLP | Systematic Generalization on gSCAN with Language Conditioned Embedding. | Tong Gao, Qi Huang, Raymond J. Mooney |
| 2019 | ACL | Generating Question Relevant Captions to Aid Visual Question Answering. | Jialin Wu, Zeyuan Hu, Raymond J. Mooney |
| 2019 | IJCAI | Using Natural Language for Reward Shaping in Reinforcement Learning. | Prasoon Goyal, Scott Niekum, Raymond J. Mooney |
| 2019 | ICRA | Improving Grounded Natural Language Understanding through Human-Robot Dialog. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2018 | AAAI | Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. | Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric |
| 2018 | AAAI | Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. | Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone |
| 2018 | EMNLP | Learning a Policy for Opportunistic Active Learning. | Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney |
| 2018 | NAACL | Stacking with Auxiliary Features for Visual Question Answering. | Nazneen Fatema Rajani, Raymond J. Mooney |
| 2017 | ACL | Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. | Jesse Thomason, Jivko Sinapov, Raymond J. Mooney |
| 2017 | CoRL | Opportunistic Active Learning for Grounding Natural Language Descriptions. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2017 | CVPR | Captioning Images with Diverse Objects. | Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2017 | EACL | Integrated Learning of Dialog Strategies and Semantic Parsing. | Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney |
| 2017 | IJCAI | Stacking With Auxiliary Features. | Nazneen Fatema Rajani, Raymond J. Mooney |
| 2017 | IJCAI | Multi-Modal Word Synset Induction. | Jesse Thomason, Raymond J. Mooney |
| 2017 | IJCNLP | Dialog for Language to Code. | Shobhit Chaurasia, Raymond J. Mooney |
| 2017 | IJCNLP | Improving Black-box Speech Recognition using Semantic Parsing. | Rodolfo Corona, Jesse Thomason, Raymond J. Mooney |
| 2017 | IJCNLP | Leveraging Discourse Information Effectively for Authorship Attribution. | Elisa Ferracane, Su Wang, Raymond J. Mooney |
| 2016 | AAAI | Learning Statistical Scripts with LSTM Recurrent Neural Networks. | Karl Pichotta, Raymond J. Mooney |
| 2016 | ACL | Using Sentence-Level LSTM Language Models for Script Inference. | Karl Pichotta, Raymond J. Mooney |
| 2016 | CVPR | Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. | Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell |
| 2016 | EMNLP | Combining Supervised and Unsupervised Enembles for Knowledge Base Population. | Nazneen Fatema Rajani, Raymond J. Mooney |
| 2016 | EMNLP | Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. | Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko |
| 2016 | IJCAI | Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". | Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney |
| 2015 | ACL | Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. | Chris Quirk, Raymond J. Mooney, Michel Galley |
| 2015 | ACL | Stacked Ensembles of Information Extractors for Knowledge-Base Population. | Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney |
| 2015 | ICCV | Sequence to Sequence - Video to Text. | Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2015 | IJCAI | Learning to Interpret Natural Language Commands through Human-Robot Dialog. | Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone |
| 2015 | NAACL | Translating Videos to Natural Language Using Deep Recurrent Neural Networks. | Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko |
| 2014 | AAAI | Efficient Markov Logic Inference for Natural Language Semantics. | Islam Beltagy, Raymond J. Mooney |
| 2014 | ACL | Probabilistic Soft Logic for Semantic Textual Similarity. | Islam Beltagy, Katrin Erk, Raymond J. Mooney |
| 2014 | COLING | Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. | Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney |
| 2014 | EACL | Statistical Script Learning with Multi-Argument Events. | Karl Pichotta, Raymond J. Mooney |
| 2014 | SDM | Active Multitask Learning Using Both Latent and Supervised Shared Topics. | Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh |
| 2013 | AAAI | Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. | Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama |
| 2013 | AAAI | Online Inference-Rule Learning from Natural-Language Extractions. | Sindhu Raghavan, Raymond J. Mooney |
| 2013 | ACL | Adapting Discriminative Reranking to Grounded Language Learning. | Joohyun Kim, Raymond J. Mooney |
| 2013 | EMNLP | Detecting Promotional Content in Wikipedia. | Shruti Bhosale, Heath Vinicombe, Raymond J. Mooney |
| 2013 | ICCV | YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. | Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2012 | ACL | Learning to "Read Between the Lines" using Bayesian Logic Programs. | Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku |
| 2012 | EACL | Learning Language from Perceptual Context. | Raymond J. Mooney |
| 2012 | ECAI | Improving Video Activity Recognition using Object Recognition and Text Mining. | Tanvi S. Motwani, Raymond J. Mooney |
| 2012 | EMNLP | Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. | Joohyun Kim, Raymond J. Mooney |
| 2011 | AAAI | Learning to Interpret Natural Language Navigation Instructions from Observations. | David L. Chen, Raymond J. Mooney |
| 2011 | AAAI | Abductive Markov Logic for Plan Recognition. | Parag Singla, Raymond J. Mooney |
| 2011 | EMNLP | Cross-Cutting Models of Lexical Semantics. | Joseph Reisinger, Raymond J. Mooney |
| 2011 | PADL | Learning Language from Its Perceptual Context. | Raymond J. Mooney |
| 2011 | SDM | Online Max-Margin Weight Learning for Markov Logic Networks. | Tuyen N. Huynh, Raymond J. Mooney |
| 2010 | AAAI | Using Closed Captions as Supervision for Video Activity Recognition. | Sonal Gupta, Raymond J. Mooney |
| 2010 | AAAI | Online Max-Margin Weight Learning with Markov Logic Networks. | Tuyen N. Huynh, Raymond J. Mooney |
| 2010 | AAAI | Bayesian Abductive Logic Programs. | Sindhu Raghavan, Raymond J. Mooney |
| 2010 | ACL | Authorship Attribution Using Probabilistic Context-Free Grammars. | Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney |
| 2010 | COLING | Learning to Predict Readability using Diverse Linguistic Features. | Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos, Chris Welty |
| 2010 | COLING | Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. | Joohyun Kim, Raymond J. Mooney |
| 2010 | CoNLL | Joint Entity and Relation Extraction Using Card-Pyramid Parsing. | Rohit J. Kate, Raymond J. Mooney |
| 2010 | EMNLP | A Mixture Model with Sharing for Lexical Semantics. | Joseph Reisinger, Raymond J. Mooney |
| 2010 | ICML | Spherical Topic Models. | Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney |
| 2010 | NAACL | Multi-Prototype Vector-Space Models of Word Meaning. | Joseph Reisinger, Raymond J. Mooney |
| 2009 | ACL | Learning a Compositional Semantic Parser using an Existing Syntactic Parser. | Ruifang Ge, Raymond J. Mooney |
| 2009 | CVPR | Using closed captions to train activity recognizers that improve video retrieval. | Sonal Gupta, Raymond J. Mooney |
| 2009 | IJCAI | Transfer Learning from Minimal Target Data by Mapping across Relational Domains. | Lilyana Mihalkova, Raymond J. Mooney |
| 2008 | AAAI | Learning to Connect Language and Perception. | Raymond J. Mooney |
| 2008 | ICML | Learning to sportscast: a test of grounded language acquisition. | David L. Chen, Raymond J. Mooney |
| 2008 | ICML | Discriminative structure and parameter learning for Markov logic networks. | Tuyen N. Huynh, Raymond J. Mooney |
| 2007 | AAAI | Learning Language Semantics from Ambiguous Supervision. | Rohit J. Kate, Raymond J. Mooney |
| 2007 | AAAI | Mapping and Revising Markov Logic Networks for Transfer Learning. | Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney |
| 2007 | ACL | Learning to Extract Relations from the Web using Minimal Supervision. | Razvan C. Bunescu, Raymond J. Mooney |
| 2007 | ACL | Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. | Yuk Wah Wong, Raymond J. Mooney |
| 2007 | CICLING | Learning for Semantic Parsing. | Raymond J. Mooney |
| 2007 | ICML | Multiple instance learning for sparse positive bags. | Razvan C. Bunescu, Raymond J. Mooney |
| 2007 | ICML | Bottom-up learning of Markov logic network structure. | Lilyana Mihalkova, Raymond J. Mooney |
| 2007 | NAACL | Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. | Rohit J. Kate, Raymond J. Mooney |
| 2007 | NAACL | Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation. | Yuk Wah Wong, Raymond J. Mooney |
| 2006 | ACL | Discriminative Reranking for Semantic Parsing. | Ruifang Ge, Raymond J. Mooney |
| 2006 | ACL | Using String-Kernels for Learning Semantic Parsers. | Rohit J. Kate, Raymond J. Mooney |
| 2006 | FlAIRS | Using Active Relocation to Aid Reinforcement Learning. | Lilyana Mihalkova, Raymond J. Mooney |
| 2006 | ICDM | Adaptive Blocking: Learning to Scale Up Record Linkage. | Mikhail Bilenko, Beena Kamath, Raymond J. Mooney |
| 2006 | NAACL | Learning for Semantic Parsing with Statistical Machine Translation. | Yuk Wah Wong, Raymond J. Mooney |
| 2005 | AAAI | Learning to Transform Natural to Formal Languages. | Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney |
| 2005 | CoNLL | A Statistical Semantic Parser that Integrates Syntax and Semantics. | Ruifang Ge, Raymond J. Mooney |
| 2005 | ICDM | An Expected Utility Approach to Active Feature-Value Acquisition. | Prem Melville, Foster J. Provost, Raymond J. Mooney |
| 2005 | ICML | Semi-supervised graph clustering: a kernel approach. | Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney |
| 2005 | ISMB | Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. | Arun K. Ramani, Razvan C. Bunescu, Raymond J. Mooney, Edward M. Marcotte |
| 2005 | KDD | Model-based overlapping clustering. | Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney |
| 2005 | NAACL | A Shortest Path Dependency Kernel for Relation Extraction. | Razvan C. Bunescu, Raymond J. Mooney |
| 2004 | ACL | Collective Information Extraction with Relational Markov Networks. | Razvan C. Bunescu, Raymond J. Mooney |
| 2004 | ICDM | Active Feature-Value Acquisition for Classifier Induction. | Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney |
| 2004 | ICML | Integrating constraints and metric learning in semi-supervised clustering. | Mikhail Bilenko, Sugato Basu, Raymond J. Mooney |
| 2004 | ICML | Diverse ensembles for active learning. | Prem Melville, Raymond J. Mooney |
| 2004 | KDD | A probabilistic framework for semi-supervised clustering. | Sugato Basu, Mikhail Bilenko, Raymond J. Mooney |
| 2004 | SDM | Active Semi-Supervision for Pairwise Constrained Clustering. | Sugato Basu, Arindam Banerjee, Raymond J. Mooney |
| 2003 | IJCAI | Employing Trainable String Similarity Metrics for Information Integration. | Mikhail Bilenko, Raymond J. Mooney |
| 2003 | IJCAI | Constructing Diverse Classifier Ensembles using Artificial Training Examples. | Prem Melville, Raymond J. Mooney |
| 2003 | KDD | Adaptive duplicate detection using learnable string similarity measures. | Mikhail Bilenko, Raymond J. Mooney |
| 2002 | AAAI | Content-Boosted Collaborative Filtering for Improved Recommendations. | Prem Melville, Raymond J. Mooney, Ramadass Nagarajan |
| 2002 | CIKM | Mining soft-matching association rules. | Un Yong Nahm, Raymond J. Mooney |
| 2002 | ICML | Semi-supervised Clustering by Seeding. | Sugato Basu, Arindam Banerjee, Raymond J. Mooney |
| 2001 | IJCAI | Mining Soft-Matching Rules from Textual Data. | Un Yong Nahm, Raymond J. Mooney |
| 2001 | KDD | Evaluating the novelty of text-mined rules using lexical knowledge. | Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh |
| 2000 | AAAI | A Mutually Beneficial Integration of Data Mining and Information Extraction. | Un Yong Nahm, Raymond J. Mooney |
| 2000 | EMNLP | Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing. | Lappoon R. Tang, Raymond J. Mooney |
| 1999 | AAAI | Relational Learning of Pattern-Match Rules for Information Extraction. | Mary Elaine Califf, Raymond J. Mooney |
| 1999 | AAAI | Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces. | Cynthia A. Thompson, Raymond J. Mooney |
| 1999 | ICML | Active Learning for Natural Language Parsing and Information Extraction. | Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney |
| 1998 | ICML | Theory Refinement of Bayesian Networks with Hidden Variables. | Sowmya Ramachandran, Raymond J. Mooney |
| 1997 | ACL | Learning Parse and Translation Decisions from Examples with Rich Context. | Ulf Hermjakob, Raymond J. Mooney |
| 1997 | CoNLL | Relational Learning of Pattern-Match Rules for Information Extraction. | Mary Elaine Califf, Raymond J. Mooney |
| 1997 | IJCAI | Learning to Improve both Efficiency and Quality of Planning. | Tara A. Estlin, Raymond J. Mooney |
| 1996 | AAAI | A Novel Application of Theory Refinement to Student Modeling. | Paul T. Baffes, Raymond J. Mooney |
| 1996 | AAAI | Multi-Strategy Learning of Search Control for Partial-Order Planning. | Tara A. Estlin, Raymond J. Mooney |
| 1996 | AAAI | Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes. | Siddarth Subramanian, Raymond J. Mooney |
| 1996 | AAAI | Learning to Parse Database Queries Using Inductive Logic Programming. | John M. Zelle, Raymond J. Mooney |
| 1996 | EMNLP | Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning. | Raymond J. Mooney |
| 1996 | ILP | Inductive Logic Programming for Natural Language Processing. | Raymond J. Mooney |
| 1995 | IJCAI | Learning the past tense of English verbs using inductive logic programming. | Raymond J. Mooney, Mary Elaine Califf |
| 1995 | IJCAI | Comparative results on using inductive logic programming for corpus-based parser construction. | John M. Zelle, Raymond J. Mooney |
| 1994 | AAAI | Inductive Learning For Abductive Diagnosis. | Cynthia A. Thompson, Raymond J. Mooney |
| 1994 | AAAI | Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach. | John M. Zelle, Raymond J. Mooney |
| 1994 | ICML | Comparing Methods for Refining Certainty-Factor Rule-Bases. | J. Jeffrey Mahoney, Raymond J. Mooney |
| 1994 | ICML | Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. | John M. Zelle, Raymond J. Mooney, Joshua B. Konvisser |
| 1993 | AAAI | Learning Semantic Grammars with Constructive Inductive Logic Programming. | John M. Zelle, Raymond J. Mooney |
| 1993 | IJCAI | Symbolic Revision of Theories with M-of-N Rules. | Paul T. Baffes, Raymond J. Mooney |
| 1993 | IJCAI | Combining FOIL and EBG to Speed-up Logic Programs. | John M. Zelle, Raymond J. Mooney |
| 1992 | AAAI | Learning Relations by Pathfinding. | Bradley L. Richards, Raymond J. Mooney |
| 1992 | KR | Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation. | Hwee Tou Ng, Raymond J. Mooney |
| 1991 | AAAI | An Efficient First-Order Horn-Clause Abduction System Based on the ATMS. | Hwee Tou Ng, Raymond J. Mooney |
| 1991 | ICML | Constructive Induction in Theory Refinement. | Raymond J. Mooney, Dirk Ourston |
| 1991 | ICML | Improving Shared Rules in Multiple Category Domain Theories. | Dirk Ourston, Raymond J. Mooney |
| 1991 | ICML | First-Order Theory Revision. | Bradley L. Richards, Raymond J. Mooney |
| 1990 | AAAI | On the Role of Coherence in Abductive Explanation. | Hwee Tou Ng, Raymond J. Mooney |
| 1990 | AAAI | Changing the Rules: A Comprehensive Approach to Theory Refinement. | Dirk Ourston, Raymond J. Mooney |
| 1989 | ICML | Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. | Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell |
| 1989 | ICML | Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects. | Raymond J. Mooney, Dirk Ourston |
| 1989 | IJCAI | The Effect of Rule Use on the Utility of Explanation-Based Learning. | Raymond J. Mooney |
| 1989 | IJCAI | An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. | Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove |
| 1988 | ICML | Generalizing the Order of Operators in Macro-Operators. | Raymond J. Mooney |
| 1986 | AAAI | A Domain Independent Explanation-Based Generalizer. | Raymond J. Mooney, Scott W. Bennett |
| 1985 | IJCAI | Learning Schemata for Natural Language Processing. | Raymond J. Mooney, Gerald DeJong |