Raymond J. Mooney

273 papers A* 81A 7B 7C 2Misc 4Journal 78Unranked 91

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond J. Mooney, Benjamin Rosman
2024	A*	`conf`	CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. EMNLP Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney
2024	J	`jnl`	Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
2024	—	`conf`	When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. ACL (1) Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
2024	J	`jnl`	When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. CoRR Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
2023	J	`jnl`	Explaining Competitive-Level Programming Solutions using LLMs. CoRR Jierui Li, Szymon Tworkowski, Yingying Wu, Raymond J. Mooney
2023	J	`jnl`	Language-guided Task Adaptation for Imitation Learning. CoRR Prasoon Goyal, Raymond J. Mooney, Scott Niekum
2023	A*	`conf`	Learning Deep Semantics for Test Completion. ICSE Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
2023	J	`jnl`	Learning Deep Semantics for Test Completion. CoRR Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
2023	—	`conf`	SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 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	—	`conf`	Text-to-SQL Error Correction with Language Models of Code. ACL (2) Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2023	J	`jnl`	Text-to-SQL Error Correction with Language Models of Code. CoRR Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2023	A*	`conf`	Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. ICLR Albert Yu, Raymond J. Mooney
2022	A*	`conf`	Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. EMNLP Jialin Wu, Raymond J. Mooney
2022	J	`jnl`	Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR Jialin Wu, Raymond J. Mooney
2022	—	`conf`	Impact of Evaluation Methodologies on Code Summarization. ACL (1) Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
2022	—	`conf`	Learning to Describe Solutions for Bug Reports Based on Developer Discussions. ACL (Findings) Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
2022	J	`jnl`	Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu
2022	Misc	`conf`	Towards Automated Error Analysis: Learning to Characterize Errors. FLAIRS Tong Gao, Shivang Singh, Raymond J. Mooney
2022	J	`jnl`	Towards Automated Error Analysis: Learning to Characterize Errors. CoRR Tong Gao, Shivang Singh, Raymond J. Mooney
2022	J	`jnl`	Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. CoRR Albert Yu, Raymond J. Mooney
2022	A*	`conf`	Using Commonsense Knowledge to Answer Why-Questions. EMNLP Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2022	—	`conf`	Using Developer Discussions to Guide Fixing Bugs in Software. EMNLP (Findings) Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
2022	J	`jnl`	Using Developer Discussions to Guide Fixing Bugs in Software. CoRR Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
2022	—	`conf`	Zero-shot Video Moment Retrieval With Off-the-Shelf Models. TL4NLP Anuj Diwan, Puyuan Peng, Raymond J. Mooney
2022	J	`jnl`	Zero-shot Video Moment Retrieval With Off-the-Shelf Models. CoRR Anuj Diwan, Puyuan Peng, Raymond J. Mooney
2021	—	`conf`	A Recap of Early Work on Theory and Knowledge Refinement. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Raymond J. Mooney, Jude W. Shavlik
2021	A*	`conf`	Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. AAAI Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
2021	A*	`conf`	Dialog Policy Learning for Joint Clarification and Active Learning Queries. AAAI Aishwarya Padmakumar, Raymond J. Mooney
2021	J	`jnl`	Evaluation Methodologies for Code Learning Tasks. CoRR Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
2021	J	`jnl`	Learning to Describe Solutions for Bug Reports Based on Developer Discussions. CoRR Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
2021	J	`jnl`	Learning to Generate Code Comments from Class Hierarchies. CoRR Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric
2021	—	`conf`	TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021	J	`jnl`	TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021	J	`jnl`	Zero-shot Task Adaptation using Natural Language. CoRR Prasoon Goyal, Raymond J. Mooney, Scott Niekum
2020	A*	`conf`	Associating Natural Language Comment and Source Code Entities. AAAI Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li
2020	J	`jnl`	Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. CoRR Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
2020	J	`jnl`	Dialog Policy Learning for Joint Clarification and Active Learning Queries. CoRR Aishwarya Padmakumar, Raymond J. Mooney
2020	J	`jnl`	Dialog as a Vehicle for Lifelong Learning. CoRR Aishwarya Padmakumar, Raymond J. Mooney
2020	J	`jnl`	Improving VQA and its Explanations by Comparing Competing Explanations. CoRR Jialin Wu, Liyan Chen, Raymond J. Mooney
2020	J	`jnl`	Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2020	A*	`conf`	Learning to Update Natural Language Comments Based on Code Changes. ACL Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
2020	J	`jnl`	Learning to Update Natural Language Comments Based on Code Changes. CoRR Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
2020	Misc	`conf`	PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRL Prasoon Goyal, Scott Niekum, Raymond J. Mooney
2020	J	`jnl`	PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRR Prasoon Goyal, Scott Niekum, Raymond J. Mooney
2020	—	`conf`	Systematic Generalization on gSCAN with Language Conditioned Embedding. AACL/IJCNLP Tong Gao, Qi Huang, Raymond J. Mooney
2020	J	`jnl`	Systematic Generalization on gSCAN with Language Conditioned Embedding. CoRR Tong Gao, Qi Huang, Raymond J. Mooney
2019	—	`conf`	A framework for writing trigger-action todo comments in executable format. ESEC/SIGSOFT FSE Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
2019	J	`jnl`	Associating Natural Language Comment and Source Code Entities. CoRR Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li
2019	—	`conf`	Do Human Rationales Improve Machine Explanations? BlackboxNLP@ACL Julia Strout, Ye Zhang, Raymond J. Mooney
2019	J	`jnl`	Do Human Rationales Improve Machine Explanations? CoRR Julia Strout, Ye Zhang, Raymond J. Mooney
2019	—	`conf`	Faithful Multimodal Explanation for Visual Question Answering. BlackboxNLP@ACL Jialin Wu, Raymond J. Mooney
2019	—	`conf`	Generating Question Relevant Captions to Aid Visual Question Answering. ACL (1) Jialin Wu, Zeyuan Hu, Raymond J. Mooney
2019	J	`jnl`	Generating Question Relevant Captions to Aid Visual Question Answering. CoRR Jialin Wu, Zeyuan Hu, Raymond J. Mooney
2019	—	`conf`	Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder. ViGIL@NeurIPS Jialin Wu, Raymond J. Mooney
2019	J	`jnl`	Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder. CoRR Jialin Wu, Raymond J. Mooney
2019	A*	`conf`	Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019	J	`jnl`	Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019	B	`conf`	Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. ICSR Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019	J	`jnl`	Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. CoRR Shih-Fu Chang, Alexander G. Hauptmann, Louis-Philippe Morency, Sameer K. Antani, Dick C. A. Bulterman, Carlos Busso, Joyce Yue Chai, Julia Hirschberg, Ramesh C. Jain, Ketan Mayer-Patel, Reuven Meth, Raymond J. Mooney, Klara Nahrstedt, Shrikanth S. Narayanan, Prem Natarajan, Sharon L. Oviatt, Balakrishnan Prabhakaran, Arnold W. M. Smeulders, Hari Sundaram, Zhengyou Zhang, Michelle X. Zhou
2019	A*	`conf`	Self-Critical Reasoning for Robust Visual Question Answering. NeurIPS Jialin Wu, Raymond J. Mooney
2019	J	`jnl`	Self-Critical Reasoning for Robust Visual Question Answering. CoRR Jialin Wu, Raymond J. Mooney
2019	A*	`conf`	Using Natural Language for Reward Shaping in Reinforcement Learning. IJCAI Prasoon Goyal, Scott Niekum, Raymond J. Mooney
2019	J	`jnl`	Using Natural Language for Reward Shaping in Reinforcement Learning. CoRR Prasoon Goyal, Scott Niekum, Raymond J. Mooney
2018	J	`jnl`	Executable Trigger-Action Comments. CoRR Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
2018	J	`jnl`	Faithful Multimodal Explanation for Visual Question Answering. CoRR Jialin Wu, Raymond J. Mooney
2018	A*	`conf`	Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018	J	`jnl`	Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018	J	`jnl`	Joint Image Captioning and Question Answering. CoRR Jialin Wu, Zeyuan Hu, Raymond J. Mooney
2018	A*	`conf`	Learning a Policy for Opportunistic Active Learning. EMNLP Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
2018	J	`jnl`	Learning a Policy for Opportunistic Active Learning. CoRR Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
2018	—	`conf`	Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. AAAI Workshops Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
2018	—	`conf`	Stacking with Auxiliary Features for Visual Question Answering. NAACL-HLT Nazneen Fatema Rajani, Raymond J. Mooney
2017	J	`jnl`	BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone
2017	A*	`conf`	Captioning Images with Diverse Objects. CVPR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2017	—	`conf`	Dialog for Language to Code. IJCNLP(2) Shobhit Chaurasia, Raymond J. Mooney
2017	—	`conf`	Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL Jesse Thomason, Jivko Sinapov, Raymond J. Mooney
2017	—	`conf`	Improving Black-box Speech Recognition using Semantic Parsing. IJCNLP(2) Rodolfo Corona, Jesse Thomason, Raymond J. Mooney
2017	—	`conf`	Integrated Learning of Dialog Strategies and Semantic Parsing. EACL (1) Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney
2017	—	`conf`	Leveraging Discourse Information Effectively for Authorship Attribution. IJCNLP(1) Elisa Ferracane, Su Wang, Raymond J. Mooney
2017	J	`jnl`	Leveraging Discourse Information Effectively for Authorship Attribution. CoRR Su Wang, Elisa Ferracane, Raymond J. Mooney
2017	A*	`conf`	Multi-Modal Word Synset Induction. IJCAI Jesse Thomason, Raymond J. Mooney
2017	Misc	`conf`	Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney
2017	A*	`conf`	Stacking With Auxiliary Features. IJCAI Nazneen Fatema Rajani, Raymond J. Mooney
2016	J	`jnl`	Captioning Images with Diverse Objects. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2016	A*	`conf`	Combining Supervised and Unsupervised Enembles for Knowledge Base Population. EMNLP Nazneen Fatema Rajani, Raymond J. Mooney
2016	A*	`conf`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2016	A*	`conf`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	J	`jnl`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	A*	`conf`	Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney
2016	A*	`conf`	Learning Statistical Scripts with LSTM Recurrent Neural Networks. AAAI Karl Pichotta, Raymond J. Mooney
2016	J	`jnl`	Representing Meaning with a Combination of Logical and Distributional Models. Comput. Linguistics Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
2016	—	`conf`	Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. TAC Nazneen Fatema Rajani, Raymond J. Mooney
2016	J	`jnl`	Stacking With Auxiliary Features. CoRR Nazneen Fatema Rajani, Raymond J. Mooney
2016	J	`jnl`	Supervised and Unsupervised Ensembling for Knowledge Base Population. CoRR Nazneen Fatema Rajani, Raymond J. Mooney
2016	—	`conf`	Using Sentence-Level LSTM Language Models for Script Inference. ACL (1) Karl Pichotta, Raymond J. Mooney
2016	J	`jnl`	Using Sentence-Level LSTM Language Models for Script Inference. CoRR Karl Pichotta, Raymond J. Mooney
2015	J	`jnl`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2015	—	`conf`	Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. ACL (1) Chris Quirk, Raymond J. Mooney, Michel Galley
2015	A*	`conf`	Learning to Interpret Natural Language Commands through Human-Robot Dialog. IJCAI Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone
2015	J	`jnl`	Representing Meaning with a Combination of Logical Form and Vectors. CoRR Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
2015	A*	`conf`	Sequence to Sequence - Video to Text. ICCV Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	J	`jnl`	Sequence to Sequence - Video to Text. CoRR Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	—	`conf`	Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. TAC Nazneen Fatema Rajani, Raymond J. Mooney
2015	—	`conf`	Stacked Ensembles of Information Extractors for Knowledge-Base Population. ACL (1) Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney
2015	—	`conf`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2014	A	`conf`	Active Multitask Learning Using Both Latent and Supervised Shared Topics. SDM Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh
2014	—	`conf`	Efficient Markov Logic Inference for Natural Language Semantics. StarAI@AAAI Islam Beltagy, Raymond J. Mooney
2014	B	`conf`	Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney
2014	—	`conf`	Probabilistic Soft Logic for Semantic Textual Similarity. ACL (1) Islam Beltagy, Katrin Erk, Raymond J. Mooney
2014	A	`conf`	Statistical Script Learning with Multi-Argument Events. EACL Karl Pichotta, Raymond J. Mooney
2014	J	`jnl`	Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. CoRR David L. Chen, Joohyun Kim, Raymond J. Mooney
2014	J	`jnl`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2014	—	`conf`	UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic. SemEval@COLING Islam Beltagy, Stephen Roller, Gemma Boleda, Katrin Erk, Raymond J. Mooney
2013	—	`conf`	Adapting Discriminative Reranking to Grounded Language Learning. ACL (1) Joohyun Kim, Raymond J. Mooney
2013	A*	`conf`	Detecting Promotional Content in Wikipedia. EMNLP Shruti Bhosale, Heath Vinicombe, Raymond J. Mooney
2013	A*	`conf`	Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
2013	—	`conf`	Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. *SEM@NAACL-HLT Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond J. Mooney
2013	—	`conf`	Online Inference-Rule Learning from Natural-Language Extractions. StarAI@AAAI Sindhu Raghavan, Raymond J. Mooney
2013	—	`conf`	University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference. TAC Yinon Bentor, Amelia Harrison, Shruti Bhosale, Raymond J. Mooney
2013	—	`conf`	Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka
2013	A*	`conf`	YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2012	A	`conf`	Improving Video Activity Recognition using Object Recognition and Text Mining. ECAI Tanvi S. Motwani, Raymond J. Mooney
2012	A	`conf`	Learning Language from Perceptual Context. EACL Raymond J. Mooney
2012	—	`conf`	Learning to "Read Between the Lines" using Bayesian Logic Programs. ACL (1) Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
2012	—	`conf`	Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. EMNLP-CoNLL Joohyun Kim, Raymond J. Mooney
2011	A*	`conf`	Abductive Markov Logic for Plan Recognition. AAAI Parag Singla, Raymond J. Mooney
2011	—	`conf`	Abductive Plan Recognition by Extending Bayesian Logic Programs. ECML/PKDD (2) Sindhu Raghavan, Raymond J. Mooney
2011	J	`jnl`	Acquiring Word-Meaning Mappings for Natural Language Interfaces CoRR Cynthia A. Thompson, Raymond J. Mooney
2011	A*	`conf`	Cross-Cutting Models of Lexical Semantics. EMNLP Joseph Reisinger, Raymond J. Mooney
2011	—	`conf`	Implementing Weighted Abduction in Markov Logic. IWCS James Blythe, Jerry R. Hobbs, Pedro M. Domingos, Rohit J. Kate, Raymond J. Mooney
2011	—	`conf`	Integrating Logical Representations with Probabilistic Information using Markov Logic. IWCS Dan Garrette, Katrin Erk, Raymond J. Mooney
2011	C	`conf`	Learning Language from Its Perceptual Context. PADL Raymond J. Mooney
2011	A*	`conf`	Learning to Interpret Natural Language Navigation Instructions from Observations. AAAI David L. Chen, Raymond J. Mooney
2011	A	`conf`	Online Max-Margin Weight Learning for Markov Logic Networks. SDM Tuyen N. Huynh, Raymond J. Mooney
2011	—	`conf`	Online Structure Learning for Markov Logic Networks. ECML/PKDD (2) Tuyen N. Huynh, Raymond J. Mooney
2011	—	`conf`	Panning for gold: finding relevant semantic content for grounded language learning. MLSLP David L. Chen, Raymond J. Mooney
2010	A*	`conf`	A Mixture Model with Sharing for Lexical Semantics. EMNLP Joseph Reisinger, Raymond J. Mooney
2010	—	`conf`	Authorship Attribution Using Probabilistic Context-Free Grammars. ACL (2) Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney
2010	—	`conf`	Bayesian Abductive Logic Programs. StarAI@AAAI Sindhu Raghavan, Raymond J. Mooney
2010	—	`conf`	Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. COLING (Posters) Joohyun Kim, Raymond J. Mooney
2010	B	`conf`	Joint Entity and Relation Extraction Using Card-Pyramid Parsing. CoNLL Rohit J. Kate, Raymond J. Mooney
2010	B	`conf`	Learning to Predict Readability using Diverse Linguistic Features. COLING Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos, Chris Welty
2010	—	`conf`	Multi-Prototype Vector-Space Models of Word Meaning. HLT-NAACL Joseph Reisinger, Raymond J. Mooney
2010	—	`conf`	Online Max-Margin Weight Learning with Markov Logic Networks. StarAI@AAAI Tuyen N. Huynh, Raymond J. Mooney
2010	A*	`conf`	Spherical Topic Models. ICML Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney
2010	J	`jnl`	Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. J. Artif. Intell. Res. David L. Chen, Joohyun Kim, Raymond J. Mooney
2010	A*	`conf`	Using Closed Captions as Supervision for Video Activity Recognition. AAAI Sonal Gupta, Raymond J. Mooney
2009	—	`conf`	Learning a Compositional Semantic Parser using an Existing Syntactic Parser. ACL/IJCNLP Ruifang Ge, Raymond J. Mooney
2009	—	`conf`	Learning to Disambiguate Search Queries from Short Sessions. ECML/PKDD (2) Lilyana Mihalkova, Raymond J. Mooney
2009	—	`conf`	Max-Margin Weight Learning for Markov Logic Networks. ECML/PKDD (1) Tuyen N. Huynh, Raymond J. Mooney
2009	J	`jnl`	Semi-supervised graph clustering: a kernel approach. Mach. Learn. Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney
2009	A*	`conf`	Transfer Learning from Minimal Target Data by Mapping across Relational Domains. IJCAI Lilyana Mihalkova, Raymond J. Mooney
2009	—	`conf`	Using closed captions to train activity recognizers that improve video retrieval. CVPR Workshops Sonal Gupta, Raymond J. Mooney
2008	A*	`conf`	Discriminative structure and parameter learning for Markov logic networks. ICML Tuyen N. Huynh, Raymond J. Mooney
2008	—	`conf`	Learning Language from Its Perceptual Context. ECML/PKDD (1) Raymond J. Mooney
2008	A*	`conf`	Learning to Connect Language and Perception. AAAI Raymond J. Mooney
2008	A*	`conf`	Learning to sportscast: a test of grounded language acquisition. ICML David L. Chen, Raymond J. Mooney
2008	—	`conf`	Text Mining. SBIA Raymond J. Mooney
2008	—	`conf`	Transfer Learning by Mapping and Revising Relational Knowledge. SBIA Raymond J. Mooney
2008	—	`conf`	Watch, Listen & Learn: Co-training on Captioned Images and Videos. ECML/PKDD (1) Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney
2007	A*	`conf`	Bottom-up learning of Markov logic network structure. ICML Lilyana Mihalkova, Raymond J. Mooney
2007	—	`conf`	Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation. HLT-NAACL Yuk Wah Wong, Raymond J. Mooney
2007	A*	`conf`	Learning Language Semantics from Ambiguous Supervision. AAAI Rohit J. Kate, Raymond J. Mooney
2007	A*	`conf`	Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. ACL Yuk Wah Wong, Raymond J. Mooney
2007	C	`conf`	Learning for Semantic Parsing. CICLing Raymond J. Mooney
2007	A*	`conf`	Learning to Extract Relations from the Web using Minimal Supervision. ACL Razvan C. Bunescu, Raymond J. Mooney
2007	A*	`conf`	Mapping and Revising Markov Logic Networks for Transfer Learning. AAAI Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney
2007	A*	`conf`	Multiple instance learning for sparse positive bags. ICML Razvan C. Bunescu, Raymond J. Mooney
2007	—	`conf`	Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. HLT-NAACL (Short Papers) Rohit J. Kate, Raymond J. Mooney
2006	A*	`conf`	Adaptive Blocking: Learning to Scale Up Record Linkage. ICDM Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
2006	A*	`conf`	Discriminative Reranking for Semantic Parsing. ACL Ruifang Ge, Raymond J. Mooney
2006	—	`conf`	Fast and Effective Worm Fingerprinting via Machine Learning. ICAC Stewart M. Yang, Jianping Song, Harish Rajamani, Tae Won Cho, Yin Zhang, Raymond J. Mooney
2006	—	`conf`	Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. BioNLP@NAACL-HLT Razvan C. Bunescu, Raymond J. Mooney, Arun K. Ramani, Edward M. Marcotte
2006	—	`conf`	Learning for Semantic Parsing with Statistical Machine Translation. HLT-NAACL Yuk Wah Wong, Raymond J. Mooney
2006	—	`ch.`	Probabilistic Semi-Supervised Clustering with Constraints. Semi-Supervised Learning Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney
2006	Misc	`conf`	Using Active Relocation to Aid Reinforcement Learning. FLAIRS Lilyana Mihalkova, Raymond J. Mooney
2006	A*	`conf`	Using String-Kernels for Learning Semantic Parsers. ACL Rohit J. Kate, Raymond J. Mooney
2005	—	`conf`	A Shortest Path Dependency Kernel for Relation Extraction. HLT/EMNLP Razvan C. Bunescu, Raymond J. Mooney
2005	B	`conf`	A Statistical Semantic Parser that Integrates Syntax and Semantics. CoNLL Ruifang Ge, Raymond J. Mooney
2005	—	`conf`	Active Learning for Probability Estimation Using Jensen-Shannon Divergence. ECML Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney
2005	A*	`conf`	An Expected Utility Approach to Active Feature-Value Acquisition. ICDM Prem Melville, Foster J. Provost, Raymond J. Mooney
2005	—	`conf`	Combining Bias and Variance Reduction Techniques for Regression Trees. ECML Yuk Lai Suen, Prem Melville, Raymond J. Mooney
2005	J	`jnl`	Comparative experiments on learning information extractors for proteins and their interactions. Artif. Intell. Medicine Razvan C. Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun K. Ramani, Yuk Wah Wong
2005	J	`jnl`	Creating diversity in ensembles using artificial data. Inf. Fusion Prem Melville, Raymond J. Mooney
2005	A*	`conf`	Learning to Transform Natural to Formal Languages. AAAI Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney
2005	J	`jnl`	Mining knowledge from text using information extraction. SIGKDD Explor. Raymond J. Mooney, Razvan C. Bunescu
2005	A*	`conf`	Model-based overlapping clustering. KDD Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney
2005	A*	`conf`	Semi-supervised graph clustering: a kernel approach. ICML Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney
2005	—	`conf`	Subsequence Kernels for Relation Extraction. NIPS Razvan C. Bunescu, Raymond J. Mooney
2005	—	`conf`	Towards Self-Configuring Hardware for Distributed Computer Systems. ICAC Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, Michael Dahlin
2005	—	`conf`	Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. LBLODMBS@IDMB Arun K. Ramani, Razvan C. Bunescu, Raymond J. Mooney, Edward M. Marcotte
2004	A*	`conf`	A probabilistic framework for semi-supervised clustering. KDD Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
2004	A*	`conf`	Active Feature-Value Acquisition for Classifier Induction. ICDM Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney
2004	A	`conf`	Active Semi-Supervision for Pairwise Constrained Clustering. SDM Sugato Basu, Arindam Banerjee, Raymond J. Mooney
2004	A*	`conf`	Collective Information Extraction with Relational Markov Networks. ACL Razvan C. Bunescu, Raymond J. Mooney
2004	A*	`conf`	Diverse ensembles for active learning. ICML Prem Melville, Raymond J. Mooney
2004	—	`conf`	Experiments on Ensembles with Missing and Noisy Data. Multiple Classifier Systems Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney
2004	A*	`conf`	Integrating constraints and metric learning in semi-supervised clustering. ICML Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
2003	J	`jnl`	Acquiring Word-Meaning Mappings for Natural Language Interfaces. J. Artif. Intell. Res. Cynthia A. Thompson, Raymond J. Mooney
2003	J	`jnl`	Adaptive Name Matching in Information Integration. IEEE Intell. Syst. Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
2003	A*	`conf`	Adaptive duplicate detection using learnable string similarity measures. KDD Mikhail Bilenko, Raymond J. Mooney
2003	J	`jnl`	Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction. J. Mach. Learn. Res. Mary Elaine Califf, Raymond J. Mooney
2003	A*	`conf`	Constructing Diverse Classifier Ensembles using Artificial Training Examples. IJCAI Prem Melville, Raymond J. Mooney
2003	—	`conf`	Employing Trainable String Similarity Metrics for Information Integration. IIWeb Mikhail Bilenko, Raymond J. Mooney
2002	—	`conf`	Content-Boosted Collaborative Filtering for Improved Recommendations. AAAI/IAAI Prem Melville, Raymond J. Mooney, Ramadass Nagarajan
2002	A	`conf`	Mining soft-matching association rules. CIKM Un Yong Nahm, Raymond J. Mooney
2002	A*	`conf`	Semi-supervised Clustering by Seeding. ICML Sugato Basu, Arindam Banerjee, Raymond J. Mooney
2001	A*	`conf`	Evaluating the novelty of text-mined rules using lexical knowledge. KDD Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh
2001	A*	`conf`	Mining Soft-Matching Rules from Textual Data. IJCAI Un Yong Nahm, Raymond J. Mooney
2001	—	`conf`	Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing. ECML Lappoon R. Tang, Raymond J. Mooney
2000	—	`conf`	A Mutually Beneficial Integration of Data Mining and Information Extraction. AAAI/IAAI Un Yong Nahm, Raymond J. Mooney
2000	A*	`conf`	Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing. EMNLP Lappoon R. Tang, Raymond J. Mooney
2000	—	`conf`	Content-based book recommending using learning for text categorization. ACM DL Raymond J. Mooney, Loriene Roy
1999	A*	`conf`	Active Learning for Natural Language Parsing and Information Extraction. ICML Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney
1999	—	`conf`	Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces. AAAI/IAAI Cynthia A. Thompson, Raymond J. Mooney
1999	J	`jnl`	Content-Based Book Recommending Using Learning for Text Categorization CoRR Raymond J. Mooney, Loriene Roy
1999	J	`jnl`	Guest Editors' Introduction: Machine Learning and Natural Language. Mach. Learn. Claire Cardie, Raymond J. Mooney
1999	—	`conf`	Learning for Semantic Interpretation: Scaling Up without Dumbing Down. Learning Language in Logic Raymond J. Mooney
1999	—	`conf`	Relational Learning of Pattern-Match Rules for Information Extraction. AAAI/IAAI Mary Elaine Califf, Raymond J. Mooney
1998	J	`jnl`	Advantages of Decision Lists and Implicit Negatives in Inductive Logic Programming. New Gener. Comput. Mary Elaine Califf, Raymond J. Mooney
1998	—	`conf`	Semantic Lexicon Acquisition for Learning Natural Language Interfaces. VLC@COLING/ACL Cynthia A. Thompson, Raymond J. Mooney
1998	A*	`conf`	Theory Refinement of Bayesian Networks with Hidden Variables. ICML Sowmya Ramachandran, Raymond J. Mooney
1997	J	`jnl`	An Overview of Empirical Natural Language Processing. AI Mag. Eric Brill, Raymond J. Mooney
1997	J	`jnl`	Learning Parse and Translation Decisions From Examples With Rich Context CoRR Ulf Hermjakob, Raymond J. Mooney
1997	A*	`conf`	Learning Parse and Translation Decisions from Examples with Rich Context. ACL Ulf Hermjakob, Raymond J. Mooney
1997	—	`conf`	Learning to Improve both Efficiency and Quality of Planning. IJCAI Tara A. Estlin, Raymond J. Mooney
1997	B	`conf`	Relational Learning of Pattern-Match Rules for Information Extraction. CoNLL Mary Elaine Califf, Raymond J. Mooney
1996	—	`conf`	A Novel Application of Theory Refinement to Student Modeling. AAAI/IAAI, Vol. 1 Paul T. Baffes, Raymond J. Mooney
1996	J	`jnl`	Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning CoRR Raymond J. Mooney
1996	A*	`conf`	Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning. EMNLP Raymond J. Mooney
1996	B	`conf`	Inductive Logic Programming for Natural Language Processing. Inductive Logic Programming Workshop Raymond J. Mooney
1996	—	`conf`	Learning to Parse Database Queries Using Inductive Logic Programming. AAAI/IAAI, Vol. 2 John M. Zelle, Raymond J. Mooney
1996	—	`conf`	Multi-Strategy Learning of Search Control for Partial-Order Planning. AAAI/IAAI, Vol. 1 Tara A. Estlin, Raymond J. Mooney
1996	—	`conf`	Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes. AAAI/IAAI, Vol. 2 Siddarth Subramanian, Raymond J. Mooney
1995	J	`jnl`	Automated Refinement of First-Order Horn-Clause Domain Theories. Mach. Learn. Bradley L. Richards, Raymond J. Mooney
1995	—	`conf`	Comparative results on using inductive logic programming for corpus-based parser construction. Learning for Natural Language Processing John M. Zelle, Raymond J. Mooney
1995	J	`jnl`	Encouraging Experimental Results on Learning CNF. Mach. Learn. Raymond J. Mooney
1995	J	`jnl`	Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs CoRR Raymond J. Mooney, Mary Elaine Califf
1995	J	`jnl`	Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs. J. Artif. Intell. Res. Raymond J. Mooney, Mary Elaine Califf
1995	—	`conf`	Learning the past tense of English verbs using inductive logic programming. Learning for Natural Language Processing Raymond J. Mooney, Mary Elaine Califf
1994	A*	`conf`	Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. ICML John M. Zelle, Raymond J. Mooney, Joshua B. Konvisser
1994	A*	`conf`	Comparing Methods for Refining Certainty-Factor Rule-Bases. ICML J. Jeffrey Mahoney, Raymond J. Mooney
1994	A*	`conf`	Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach. AAAI John M. Zelle, Raymond J. Mooney
1994	A*	`conf`	Inductive Learning For Abductive Diagnosis. AAAI Cynthia A. Thompson, Raymond J. Mooney
1994	J	`jnl`	Integrating ILP and EBL. SIGART Bull. Raymond J. Mooney, John M. Zelle
1994	J	`jnl`	Theory Refinement Combining Analytical and Empirical Methods. Artif. Intell. Dirk Ourston, Raymond J. Mooney
1993	A*	`conf`	Combining FOIL and EBG to Speed-up Logic Programs. IJCAI John M. Zelle, Raymond J. Mooney
1993	J	`jnl`	Extending Theory Refinement to M-of-N Rules. Informatica (Slovenia) Paul T. Baffes, Raymond J. Mooney
1993	J	`jnl`	Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning. Mach. Learn. Raymond J. Mooney
1993	A*	`conf`	Learning Semantic Grammars with Constructive Inductive Logic Programming. AAAI John M. Zelle, Raymond J. Mooney
1993	A*	`conf`	Symbolic Revision of Theories with M-of-N Rules. IJCAI Paul T. Baffes, Raymond J. Mooney
1992	A*	`conf`	Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation. KR Hwee Tou Ng, Raymond J. Mooney
1992	—	`conf`	Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases. NIPS J. Jeffrey Mahoney, Raymond J. Mooney
1992	A*	`conf`	Learning Relations by Pathfinding. AAAI Bradley L. Richards, Raymond J. Mooney
1991	A*	`conf`	An Efficient First-Order Horn-Clause Abduction System Based on the ATMS. AAAI Hwee Tou Ng, Raymond J. Mooney
1991	—	`conf`	Constructive Induction in Theory Refinement. ML Raymond J. Mooney, Dirk Ourston
1991	—	`conf`	First-Order Theory Revision. ML Bradley L. Richards, Raymond J. Mooney
1991	—	`conf`	Improving Shared Rules in Multiple Category Domain Theories. ML Dirk Ourston, Raymond J. Mooney
1991	J	`jnl`	Symbolic and Neural Learning Algorithms: An Experimental Comparison. Mach. Learn. Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell
1990	A*	`conf`	Changing the Rules: A Comprehensive Approach to Theory Refinement. AAAI Dirk Ourston, Raymond J. Mooney
1990	J	`jnl`	Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition. Cogn. Sci. Raymond J. Mooney
1990	—	`ed.`	Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990 ICML Bruce W. Porter, Raymond J. Mooney
1990	A*	`conf`	On the Role of Coherence in Abductive Explanation. AAAI Hwee Tou Ng, Raymond J. Mooney
1989	A*	`conf`	An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. IJCAI Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove
1989	—	`conf`	Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects. ML Raymond J. Mooney, Dirk Ourston
1989	—	`conf`	Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. ML Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell
1989	A*	`conf`	The Effect of Rule Use on the Utility of Explanation-Based Learning. IJCAI Raymond J. Mooney
1988	—	`—`	A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding Raymond J. Mooney
1988	—	`conf`	Generalizing the Order of Operators in Macro-Operators. ML Raymond J. Mooney
1986	A*	`conf`	A Domain Independent Explanation-Based Generalizer. AAAI Raymond J. Mooney, Scott W. Bennett
1986	J	`jnl`	Explanation-Based Learning: An Alternative View. Mach. Learn. Gerald DeJong, Raymond J. Mooney
1985	A*	`conf`	Learning Schemata for Natural Language Processing. IJCAI Raymond J. Mooney, Gerald DeJong