Learning Schemata for Natural Language Processing. - Raymond J. Mooney; Gerald DeJong (IJCAI, 1985)

A Domain Independent Explanation-Based Generalizer. - Raymond J. Mooney; Scott W. Bennett (AAAI, 1986)

Explanation-Based Learning: An Alternative View. - Gerald DeJong; Raymond J. Mooney (Mach. Learn., 1986)

Generalizing the Order of Operators in Macro-Operators. - Raymond J. Mooney (ML, 1988)

A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding - Raymond J. Mooney (1988)

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 (ML, 1989)

Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects. - Raymond J. Mooney; Dirk Ourston (ML, 1989)

The Effect of Rule Use on the Utility of Explanation-Based Learning. - Raymond J. Mooney (IJCAI, 1989)

An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. - Raymond J. Mooney; Jude W. Shavlik; Geoffrey G. Towell; Alan Gove (IJCAI, 1989)

On the Role of Coherence in Abductive Explanation. - Hwee Tou Ng; Raymond J. Mooney (AAAI, 1990)

Changing the Rules: A Comprehensive Approach to Theory Refinement. - Dirk Ourston; Raymond J. Mooney (AAAI, 1990)

Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition. - Raymond J. Mooney (Cogn. Sci., 1990)

An Efficient First-Order Horn-Clause Abduction System Based on the ATMS. - Hwee Tou Ng; Raymond J. Mooney (AAAI, 1991)

Constructive Induction in Theory Refinement. - Raymond J. Mooney; Dirk Ourston (ML, 1991)

Improving Shared Rules in Multiple Category Domain Theories. - Dirk Ourston; Raymond J. Mooney (ML, 1991)

First-Order Theory Revision. - Bradley L. Richards; Raymond J. Mooney (ML, 1991)

Symbolic and Neural Learning Algorithms: An Experimental Comparison. - Jude W. Shavlik; Raymond J. Mooney; Geoffrey G. Towell (Mach. Learn., 1991)

Learning Relations by Pathfinding. - Bradley L. Richards; Raymond J. Mooney (AAAI, 1992)

Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation. - Hwee Tou Ng; Raymond J. Mooney (KR, 1992)

Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases. - J. Jeffrey Mahoney; Raymond J. Mooney (NIPS, 1992)

Learning Semantic Grammars with Constructive Inductive Logic Programming. - John M. Zelle; Raymond J. Mooney (AAAI, 1993)

Symbolic Revision of Theories with M-of-N Rules. - Paul T. Baffes; Raymond J. Mooney (IJCAI, 1993)

Combining FOIL and EBG to Speed-up Logic Programs. - John M. Zelle; Raymond J. Mooney (IJCAI, 1993)

Extending Theory Refinement to M-of-N Rules. - Paul T. Baffes; Raymond J. Mooney (Informatica (Slovenia), 1993)

Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning. - Raymond J. Mooney (Mach. Learn., 1993)

Inductive Learning For Abductive Diagnosis. - Cynthia A. Thompson; Raymond J. Mooney (AAAI, 1994)

Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach. - John M. Zelle; Raymond J. Mooney (AAAI, 1994)

Comparing Methods for Refining Certainty-Factor Rule-Bases. - J. Jeffrey Mahoney; Raymond J. Mooney (ICML, 1994)

Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. - John M. Zelle; Raymond J. Mooney; Joshua B. Konvisser (ICML, 1994)

Theory Refinement Combining Analytical and Empirical Methods. - Dirk Ourston; Raymond J. Mooney (Artif. Intell., 1994)

Integrating ILP and EBL. - Raymond J. Mooney; John M. Zelle (SIGART Bull., 1994)

Learning the past tense of English verbs using inductive logic programming. - Raymond J. Mooney; Mary Elaine Califf (Learning for Natural Language Processing, 1995)

Comparative results on using inductive logic programming for corpus-based parser construction. - John M. Zelle; Raymond J. Mooney (Learning for Natural Language Processing, 1995)

Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs. - Raymond J. Mooney; Mary Elaine Califf (J. Artif. Intell. Res., 1995)

Encouraging Experimental Results on Learning CNF. - Raymond J. Mooney (Mach. Learn., 1995)

Automated Refinement of First-Order Horn-Clause Domain Theories. - Bradley L. Richards; Raymond J. Mooney (Mach. Learn., 1995)

A Novel Application of Theory Refinement to Student Modeling. - Paul T. Baffes; Raymond J. Mooney (AAAI/IAAI, Vol. 1, 1996)

Multi-Strategy Learning of Search Control for Partial-Order Planning. - Tara A. Estlin; Raymond J. Mooney (AAAI/IAAI, Vol. 1, 1996)

Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes. - Siddarth Subramanian; Raymond J. Mooney (AAAI/IAAI, Vol. 2, 1996)

Learning to Parse Database Queries Using Inductive Logic Programming. - John M. Zelle; Raymond J. Mooney (AAAI/IAAI, Vol. 2, 1996)

Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning. - Raymond J. Mooney (EMNLP, 1996)

Inductive Logic Programming for Natural Language Processing. - Raymond J. Mooney (Inductive Logic Programming Workshop, 1996)

Learning Parse and Translation Decisions from Examples with Rich Context. - Ulf Hermjakob; Raymond J. Mooney (ACL, 1997)

Learning to Improve both Efficiency and Quality of Planning. - Tara A. Estlin; Raymond J. Mooney (IJCAI, 1997)

An Overview of Empirical Natural Language Processing. - Eric Brill; Raymond J. Mooney (AI Mag., 1997)

Semantic Lexicon Acquisition for Learning Natural Language Interfaces. - Cynthia A. Thompson; Raymond J. Mooney (VLC@COLING/ACL, 1998)

Theory Refinement of Bayesian Networks with Hidden Variables. - Sowmya Ramachandran; Raymond J. Mooney (ICML, 1998)

Advantages of Decision Lists and Implicit Negatives in Inductive Logic Programming. - Mary Elaine Califf; Raymond J. Mooney (New Gener. Comput., 1998)

Relational Learning of Pattern-Match Rules for Information Extraction. - Mary Elaine Califf; Raymond J. Mooney (AAAI/IAAI, 1999)

Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces. - Cynthia A. Thompson; Raymond J. Mooney (AAAI/IAAI, 1999)

Active Learning for Natural Language Parsing and Information Extraction. - Cynthia A. Thompson; Mary Elaine Califf; Raymond J. Mooney (ICML, 1999)

Learning for Semantic Interpretation: Scaling Up without Dumbing Down. - Raymond J. Mooney (Learning Language in Logic, 1999)

Guest Editors' Introduction: Machine Learning and Natural Language. - Claire Cardie; Raymond J. Mooney (Mach. Learn., 1999)

A Mutually Beneficial Integration of Data Mining and Information Extraction. - Un Yong Nahm; Raymond J. Mooney (AAAI/IAAI, 2000)

Content-based book recommending using learning for text categorization. - Raymond J. Mooney; Loriene Roy (ACM DL, 2000)

Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing. - Lappoon R. Tang; Raymond J. Mooney (EMNLP, 2000)

Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing. - Lappoon R. Tang; Raymond J. Mooney (ECML, 2001)

Mining Soft-Matching Rules from Textual Data. - Un Yong Nahm; Raymond J. Mooney (IJCAI, 2001)

Evaluating the novelty of text-mined rules using lexical knowledge. - Sugato Basu; Raymond J. Mooney; Krupakar V. Pasupuleti; Joydeep Ghosh (KDD, 2001)

Content-Boosted Collaborative Filtering for Improved Recommendations. - Prem Melville; Raymond J. Mooney; Ramadass Nagarajan (AAAI/IAAI, 2002)

Mining soft-matching association rules. - Un Yong Nahm; Raymond J. Mooney (CIKM, 2002)

Semi-supervised Clustering by Seeding. - Sugato Basu; Arindam Banerjee 001; Raymond J. Mooney (ICML, 2002)

Employing Trainable String Similarity Metrics for Information Integration. - Mikhail Bilenko; Raymond J. Mooney (IIWeb, 2003)

Constructing Diverse Classifier Ensembles using Artificial Training Examples. - Prem Melville; Raymond J. Mooney (IJCAI, 2003)

Adaptive duplicate detection using learnable string similarity measures. - Mikhail Bilenko; Raymond J. Mooney (KDD, 2003)

Adaptive Name Matching in Information Integration. - Mikhail Bilenko; Raymond J. Mooney; William W. Cohen; Pradeep Ravikumar; Stephen E. Fienberg (IEEE Intell. Syst., 2003)

Acquiring Word-Meaning Mappings for Natural Language Interfaces. - Cynthia A. Thompson; Raymond J. Mooney (J. Artif. Intell. Res., 2003)

Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction. - Mary Elaine Califf; Raymond J. Mooney (J. Mach. Learn. Res., 2003)

Collective Information Extraction with Relational Markov Networks. - Razvan C. Bunescu; Raymond J. Mooney (ACL, 2004)

Active Feature-Value Acquisition for Classifier Induction. - Prem Melville; Maytal Saar-Tsechansky; Foster J. Provost; Raymond J. Mooney (ICDM, 2004)

Integrating constraints and metric learning in semi-supervised clustering. - Mikhail Bilenko; Sugato Basu; Raymond J. Mooney (ICML, 2004)

Diverse ensembles for active learning. - Prem Melville; Raymond J. Mooney (ICML, 2004)

A probabilistic framework for semi-supervised clustering. - Sugato Basu; Mikhail Bilenko; Raymond J. Mooney (KDD, 2004)

Experiments on Ensembles with Missing and Noisy Data. - Prem Melville; Nishit Shah; Lilyana Mihalkova; Raymond J. Mooney (Multiple Classifier Systems, 2004)

Active Semi-Supervision for Pairwise Constrained Clustering. - Sugato Basu; Arindam Banerjee 001; Raymond J. Mooney (SDM, 2004)

Learning to Transform Natural to Formal Languages. - Rohit J. Kate; Yuk Wah Wong; Raymond J. Mooney (AAAI, 2005)

A Statistical Semantic Parser that Integrates Syntax and Semantics. - Ruifang Ge; Raymond J. Mooney (CoNLL, 2005)

Active Learning for Probability Estimation Using Jensen-Shannon Divergence. - Prem Melville; Stewart M. Yang; Maytal Saar-Tsechansky; Raymond J. Mooney (ECML, 2005)

Combining Bias and Variance Reduction Techniques for Regression Trees. - Yuk Lai Suen; Prem Melville; Raymond J. Mooney (ECML, 2005)

Towards Self-Configuring Hardware for Distributed Computer Systems. - Jonathan Wildstrom; Peter Stone 001; Emmett Witchel; Raymond J. Mooney; Michael Dahlin (ICAC, 2005)

An Expected Utility Approach to Active Feature-Value Acquisition. - Prem Melville; Foster J. Provost; Raymond J. Mooney (ICDM, 2005)

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 (LBLODMBS@IDMB, 2005)

Model-based overlapping clustering. - Arindam Banerjee 001; Chase Krumpelman; Joydeep Ghosh; Sugato Basu; Raymond J. Mooney (KDD, 2005)

A Shortest Path Dependency Kernel for Relation Extraction. - Razvan C. Bunescu; Raymond J. Mooney (HLT/EMNLP, 2005)

Subsequence Kernels for Relation Extraction. - Razvan C. Bunescu; Raymond J. Mooney (NIPS, 2005)

Comparative experiments on learning information extractors for proteins and their interactions. - Razvan C. Bunescu; Ruifang Ge; Rohit J. Kate; Edward M. Marcotte; Raymond J. Mooney; Arun K. Ramani; Yuk Wah Wong (Artif. Intell. Medicine, 2005)

Creating diversity in ensembles using artificial data. - Prem Melville; Raymond J. Mooney (Inf. Fusion, 2005)

Mining knowledge from text using information extraction. - Raymond J. Mooney; Razvan C. Bunescu (SIGKDD Explor., 2005)

Probabilistic Semi-Supervised Clustering with Constraints. - Sugato Basu; Mikhail Bilenko; Arindam Banerjee 001; Raymond J. Mooney (Semi-Supervised Learning, 2006)

Discriminative Reranking for Semantic Parsing. - Ruifang Ge; Raymond J. Mooney (ACL, 2006)

Using String-Kernels for Learning Semantic Parsers. - Rohit J. Kate; Raymond J. Mooney (ACL, 2006)

Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. - Razvan C. Bunescu; Raymond J. Mooney; Arun K. Ramani; Edward M. Marcotte (BioNLP@NAACL-HLT, 2006)

Using Active Relocation to Aid Reinforcement Learning. - Lilyana Mihalkova; Raymond J. Mooney (FLAIRS, 2006)

Fast and Effective Worm Fingerprinting via Machine Learning. - Stewart M. Yang; Jianping Song; Harish Rajamani; Tae Won Cho; Yin Zhang 001; Raymond J. Mooney (ICAC, 2006)

Adaptive Blocking: Learning to Scale Up Record Linkage. - Mikhail Bilenko; Beena Kamath; Raymond J. Mooney (ICDM, 2006)

Learning for Semantic Parsing with Statistical Machine Translation. - Yuk Wah Wong; Raymond J. Mooney (HLT-NAACL, 2006)

Learning Language Semantics from Ambiguous Supervision. - Rohit J. Kate; Raymond J. Mooney (AAAI, 2007)

Mapping and Revising Markov Logic Networks for Transfer Learning. - Lilyana Mihalkova; Tuyen N. Huynh; Raymond J. Mooney (AAAI, 2007)

Learning to Extract Relations from the Web using Minimal Supervision. - Razvan C. Bunescu; Raymond J. Mooney (ACL, 2007)

Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. - Yuk Wah Wong; Raymond J. Mooney (ACL, 2007)

Learning for Semantic Parsing. - Raymond J. Mooney (CICLing, 2007)

Multiple instance learning for sparse positive bags. - Razvan C. Bunescu; Raymond J. Mooney (ICML, 2007)

Bottom-up learning of Markov logic network structure. - Lilyana Mihalkova; Raymond J. Mooney (ICML, 2007)

Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. - Rohit J. Kate; Raymond J. Mooney (HLT-NAACL (Short Papers), 2007)

Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation. - Yuk Wah Wong; Raymond J. Mooney (HLT-NAACL, 2007)

Learning to Connect Language and Perception. - Raymond J. Mooney (AAAI, 2008)

Learning to sportscast: a test of grounded language acquisition. - David L. Chen; Raymond J. Mooney (ICML, 2008)

Discriminative structure and parameter learning for Markov logic networks. - Tuyen N. Huynh; Raymond J. Mooney (ICML, 2008)

Watch, Listen & Learn: Co-training on Captioned Images and Videos. - Sonal Gupta; Joohyun Kim 002; Kristen Grauman; Raymond J. Mooney (ECML/PKDD (1), 2008)

Transfer Learning by Mapping and Revising Relational Knowledge. - Raymond J. Mooney (SBIA, 2008)

Text Mining. - Raymond J. Mooney (SBIA, 2008)

Learning a Compositional Semantic Parser using an Existing Syntactic Parser. - Ruifang Ge; Raymond J. Mooney (ACL/IJCNLP, 2009)

Using closed captions to train activity recognizers that improve video retrieval. - Sonal Gupta; Raymond J. Mooney (CVPR Workshops, 2009)

Transfer Learning from Minimal Target Data by Mapping across Relational Domains. - Lilyana Mihalkova; Raymond J. Mooney (IJCAI, 2009)

Max-Margin Weight Learning for Markov Logic Networks. - Tuyen N. Huynh; Raymond J. Mooney (ECML/PKDD (1), 2009)

Learning to Disambiguate Search Queries from Short Sessions. - Lilyana Mihalkova; Raymond J. Mooney (ECML/PKDD (2), 2009)

Semi-supervised graph clustering: a kernel approach. - Brian Kulis; Sugato Basu; Inderjit S. Dhillon; Raymond J. Mooney (Mach. Learn., 2009)

Using Closed Captions as Supervision for Video Activity Recognition. - Sonal Gupta; Raymond J. Mooney (AAAI, 2010)

Online Max-Margin Weight Learning with Markov Logic Networks. - Tuyen N. Huynh; Raymond J. Mooney (StarAI@AAAI, 2010)

Bayesian Abductive Logic Programs. - Sindhu Raghavan; Raymond J. Mooney (StarAI@AAAI, 2010)

Authorship Attribution Using Probabilistic Context-Free Grammars. - Sindhu Raghavan; Adriana Kovashka; Raymond J. Mooney (ACL (2), 2010)

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 (COLING, 2010)

Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. - Joohyun Kim 002; Raymond J. Mooney (COLING (Posters), 2010)

Joint Entity and Relation Extraction Using Card-Pyramid Parsing. - Rohit J. Kate; Raymond J. Mooney (CoNLL, 2010)

A Mixture Model with Sharing for Lexical Semantics. - Joseph Reisinger; Raymond J. Mooney (EMNLP, 2010)

Spherical Topic Models. - Joseph Reisinger; Austin Waters; Bryan Silverthorn; Raymond J. Mooney (ICML, 2010)

Multi-Prototype Vector-Space Models of Word Meaning. - Joseph Reisinger; Raymond J. Mooney (HLT-NAACL, 2010)

Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. - David L. Chen; Joohyun Kim 002; Raymond J. Mooney (J. Artif. Intell. Res., 2010)

Learning to Interpret Natural Language Navigation Instructions from Observations. - David L. Chen; Raymond J. Mooney (AAAI, 2011)

Abductive Markov Logic for Plan Recognition. - Parag Singla; Raymond J. Mooney (AAAI, 2011)

Cross-Cutting Models of Lexical Semantics. - Joseph Reisinger; Raymond J. Mooney (EMNLP, 2011)

Implementing Weighted Abduction in Markov Logic. - James Blythe; Jerry R. Hobbs; Pedro M. Domingos; Rohit J. Kate; Raymond J. Mooney (IWCS, 2011)

Integrating Logical Representations with Probabilistic Information using Markov Logic. - Dan Garrette; Katrin Erk; Raymond J. Mooney (IWCS, 2011)

Panning for gold: finding relevant semantic content for grounded language learning. - David L. Chen; Raymond J. Mooney (MLSLP, 2011)

Learning Language from Its Perceptual Context. - Raymond J. Mooney (PADL, 2011)

Online Structure Learning for Markov Logic Networks. - Tuyen N. Huynh; Raymond J. Mooney (ECML/PKDD (2), 2011)

Abductive Plan Recognition by Extending Bayesian Logic Programs. - Sindhu Raghavan; Raymond J. Mooney (ECML/PKDD (2), 2011)

Learning to "Read Between the Lines" using Bayesian Logic Programs. - Sindhu Raghavan; Raymond J. Mooney; Hyeonseo Ku (ACL (1), 2012)

Learning Language from Perceptual Context. - Raymond J. Mooney (EACL, 2012)

Improving Video Activity Recognition using Object Recognition and Text Mining. - Tanvi S. Motwani; Raymond J. Mooney (ECAI, 2012)

Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. - Joohyun Kim 002; Raymond J. Mooney (EMNLP-CoNLL, 2012)

Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. - Niveda Krishnamoorthy; Girish Malkarnenkar; Raymond J. Mooney; Kate Saenko; Sergio Guadarrama (AAAI, 2013)

Online Inference-Rule Learning from Natural-Language Extractions. - Sindhu Raghavan; Raymond J. Mooney (StarAI@AAAI, 2013)

Adapting Discriminative Reranking to Grounded Language Learning. - Joohyun Kim 002; Raymond J. Mooney (ACL (1), 2013)

Detecting Promotional Content in Wikipedia. - Shruti Bhosale; Heath Vinicombe; Raymond J. Mooney (EMNLP, 2013)

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 (ICCV, 2013)

Using Both Latent and Supervised Shared Topics for Multitask Learning. - Ayan Acharya; Aditya Rawal; Raymond J. Mooney; Eduardo R. Hruschka (ECML/PKDD (2), 2013)

Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. - Islam Beltagy; Cuong Chau; Gemma Boleda; Dan Garrette; Katrin Erk; Raymond J. Mooney (*SEM@NAACL-HLT, 2013)

University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference. - Yinon Bentor; Amelia Harrison; Shruti Bhosale; Raymond J. Mooney (TAC, 2013)

Efficient Markov Logic Inference for Natural Language Semantics. - Islam Beltagy; Raymond J. Mooney (StarAI@AAAI, 2014)

Probabilistic Soft Logic for Semantic Textual Similarity. - Islam Beltagy; Katrin Erk; Raymond J. Mooney (ACL (1), 2014)

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 (COLING, 2014)

Statistical Script Learning with Multi-Argument Events. - Karl Pichotta; Raymond J. Mooney (EACL, 2014)

Active Multitask Learning Using Both Latent and Supervised Shared Topics. - Ayan Acharya; Raymond J. Mooney; Joydeep Ghosh (SDM, 2014)

UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic. - Islam Beltagy; Stephen Roller; Gemma Boleda; Katrin Erk; Raymond J. Mooney (SemEval@COLING, 2014)

Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. - Chris Quirk; Raymond J. Mooney; Michel Galley (ACL (1), 2015)

Stacked Ensembles of Information Extractors for Knowledge-Base Population. - Vidhoon Viswanathan; Nazneen Fatema Rajani; Yinon Bentor; Raymond J. Mooney (ACL (1), 2015)

Sequence to Sequence - Video to Text. - Subhashini Venugopalan; Marcus Rohrbach; Jeffrey Donahue; Raymond J. Mooney; Trevor Darrell; Kate Saenko (ICCV, 2015)

Learning to Interpret Natural Language Commands through Human-Robot Dialog. - Jesse Thomason; Shiqi Zhang 001; Raymond J. Mooney; Peter Stone 001 (IJCAI, 2015)

Translating Videos to Natural Language Using Deep Recurrent Neural Networks. - Subhashini Venugopalan; Huijuan Xu 001; Jeff Donahue; Marcus Rohrbach; Raymond J. Mooney; Kate Saenko (HLT-NAACL, 2015)

Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. - Nazneen Fatema Rajani; Raymond J. Mooney (TAC, 2015)

Representing Meaning with a Combination of Logical Form and Vectors. - Islam Beltagy; Stephen Roller; Pengxiang Cheng 001; Katrin Erk; Raymond J. Mooney (CoRR, 2015)

Learning Statistical Scripts with LSTM Recurrent Neural Networks. - Karl Pichotta; Raymond J. Mooney (AAAI, 2016)

Using Sentence-Level LSTM Language Models for Script Inference. - Karl Pichotta; Raymond J. Mooney (ACL (1), 2016)

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 (CVPR, 2016)

Combining Supervised and Unsupervised Enembles for Knowledge Base Population. - Nazneen Fatema Rajani; Raymond J. Mooney (EMNLP, 2016)

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. - Subhashini Venugopalan; Lisa Anne Hendricks; Raymond J. Mooney; Kate Saenko (EMNLP, 2016)

Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". - Jesse Thomason; Jivko Sinapov; Maxwell Svetlik; Peter Stone 001; Raymond J. Mooney (IJCAI, 2016)

Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. - Nazneen Fatema Rajani; Raymond J. Mooney (TAC, 2016)

Representing Meaning with a Combination of Logical and Distributional Models. - Islam Beltagy; Stephen Roller; Pengxiang Cheng 001; Katrin Erk; Raymond J. Mooney (Comput. Linguistics, 2016)

Supervised and Unsupervised Ensembling for Knowledge Base Population. - Nazneen Fatema Rajani; Raymond J. Mooney (CoRR, 2016)

Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. - Jesse Thomason; Jivko Sinapov; Raymond J. Mooney (RoboNLP@ACL, 2017)

Opportunistic Active Learning for Grounding Natural Language Descriptions. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (CoRL, 2017)

Captioning Images with Diverse Objects. - Subhashini Venugopalan; Lisa Anne Hendricks; Marcus Rohrbach; Raymond J. Mooney; Trevor Darrell; Kate Saenko (CVPR, 2017)

Integrated Learning of Dialog Strategies and Semantic Parsing. - Aishwarya Padmakumar; Jesse Thomason; Raymond J. Mooney (EACL (1), 2017)

Stacking With Auxiliary Features. - Nazneen Fatema Rajani; Raymond J. Mooney (IJCAI, 2017)

Multi-Modal Word Synset Induction. - Jesse Thomason; Raymond J. Mooney (IJCAI, 2017)

Dialog for Language to Code. - Shobhit Chaurasia; Raymond J. Mooney (IJCNLP(2), 2017)

Improving Black-box Speech Recognition using Semantic Parsing. - Rodolfo Corona; Jesse Thomason; Raymond J. Mooney (IJCNLP(2), 2017)

Leveraging Discourse Information Effectively for Authorship Attribution. - Elisa Ferracane; Su Wang 001; Raymond J. Mooney (IJCNLP(1), 2017)

BWIBots: A platform for bridging the gap between AI and human-robot interaction research. - Piyush Khandelwal; Shiqi Zhang 001; Jivko Sinapov; Matteo Leonetti; Jesse Thomason; Fangkai Yang; Ilaria Gori; Maxwell Svetlik; Priyanka Khante; Vladimir Lifschitz; J. K. Aggarwal; Raymond J. Mooney; et al. (Int. J. Robotics Res., 2017)

Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. - Pengyu Nie 001; Junyi Jessy Li; Sarfraz Khurshid; Raymond J. Mooney; Milos Gligoric 001 (AAAI Workshops, 2018)

Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. - Jesse Thomason; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (AAAI, 2018)

Learning a Policy for Opportunistic Active Learning. - Aishwarya Padmakumar; Peter Stone 001; Raymond J. Mooney (EMNLP, 2018)

Stacking with Auxiliary Features for Visual Question Answering. - Nazneen Fatema Rajani; Raymond J. Mooney (NAACL-HLT, 2018)

Joint Image Captioning and Question Answering. - Jialin Wu; Zeyuan Hu 001; Raymond J. Mooney (CoRR, 2018)

Executable Trigger-Action Comments. - Pengyu Nie 001; Rishabh Rai; Junyi Jessy Li; Sarfraz Khurshid; Raymond J. Mooney; Milos Gligoric 001 (CoRR, 2018)

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. - Justin W. Hart; Harel Yedidsion; Yuqian Jiang; Nick Walker 001; Rishi Shah; Jesse Thomason; Aishwarya Padmakumar; Rolando Fernandez; Jivko Sinapov; Raymond J. Mooney; Peter Stone 001 (CoRR, 2018)

Generating Question Relevant Captions to Aid Visual Question Answering. - Jialin Wu; Zeyuan Hu 001; Raymond J. Mooney (ACL (1), 2019)

Do Human Rationales Improve Machine Explanations? - Julia Strout; Ye Zhang; Raymond J. Mooney (BlackboxNLP@ACL, 2019)

Faithful Multimodal Explanation for Visual Question Answering. - Jialin Wu; Raymond J. Mooney (BlackboxNLP@ACL, 2019)

Improving Grounded Natural Language Understanding through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (ICRA, 2019)

Using Natural Language for Reward Shaping in Reinforcement Learning. - Prasoon Goyal; Scott Niekum; Raymond J. Mooney (IJCAI, 2019)

Self-Critical Reasoning for Robust Visual Question Answering. - Jialin Wu; Raymond J. Mooney (NeurIPS, 2019)

Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder. - Jialin Wu; Raymond J. Mooney (ViGIL@NeurIPS, 2019)

A framework for writing trigger-action todo comments in executable format. - Pengyu Nie 001; Rishabh Rai; Junyi Jessy Li; Sarfraz Khurshid; Raymond J. Mooney; Milos Gligoric 001 (ESEC/SIGSOFT FSE, 2019)

Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. - Harel Yedidsion; Jacqueline Deans; Connor Sheehan; Mahathi Chillara; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (ICSR, 2019)

Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. - 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; et al. (CoRR, 2019)

Associating Natural Language Comment and Source Code Entities. - Sheena Panthaplackel; Milos Gligoric 001; Raymond J. Mooney; Junyi Jessy Li (AAAI, 2020)

Learning to Update Natural Language Comments Based on Code Changes. - Sheena Panthaplackel; Pengyu Nie 001; Milos Gligoric 001; Junyi Jessy Li; Raymond J. Mooney (ACL, 2020)

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. - Prasoon Goyal; Scott Niekum; Raymond J. Mooney (CoRL, 2020)

Systematic Generalization on gSCAN with Language Conditioned Embedding. - Tong Gao; Qi Huang; Raymond J. Mooney (AACL/IJCNLP, 2020)

Dialog as a Vehicle for Lifelong Learning. - Aishwarya Padmakumar; Raymond J. Mooney (CoRR, 2020)

Improving VQA and its Explanations by Comparing Competing Explanations. - Jialin Wu; Liyan Chen; Raymond J. Mooney (CoRR, 2020)

Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. - Jesse Thomason; Aishwarya Padmakumar; Jivko Sinapov; Nick Walker 001; Yuqian Jiang; Harel Yedidsion; Justin W. Hart; Peter Stone 001; Raymond J. Mooney (J. Artif. Intell. Res., 2020)

Dialog Policy Learning for Joint Clarification and Active Learning Queries. - Aishwarya Padmakumar; Raymond J. Mooney (AAAI, 2021)

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. - Sheena Panthaplackel; Junyi Jessy Li; Milos Gligoric 001; Raymond J. Mooney (AAAI, 2021)

A Recap of Early Work on Theory and Knowledge Refinement. - Raymond J. Mooney; Jude W. Shavlik (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

TellMeWhy: A Dataset for Answering Why-Questions in Narratives. - Yash Kumar Lal; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (ACL/IJCNLP (Findings), 2021)

Learning to Generate Code Comments from Class Hierarchies. - Jiyang Zhang 003; Sheena Panthaplackel; Pengyu Nie 001; Raymond J. Mooney; Junyi Jessy Li; Milos Gligoric 001 (CoRR, 2021)

Zero-shot Task Adaptation using Natural Language. - Prasoon Goyal; Raymond J. Mooney; Scott Niekum (CoRR, 2021)

Evaluation Methodologies for Code Learning Tasks. - Pengyu Nie 001; Jiyang Zhang 003; Junyi Jessy Li; Raymond J. Mooney; Milos Gligoric 001 (CoRR, 2021)

Impact of Evaluation Methodologies on Code Summarization. - Pengyu Nie 001; Jiyang Zhang 003; Junyi Jessy Li; Raymond J. Mooney; Milos Gligoric 001 (ACL (1), 2022)

Learning to Describe Solutions for Bug Reports Based on Developer Discussions. - Sheena Panthaplackel; Junyi Jessy Li; Milos Gligoric 001; Raymond J. Mooney (ACL (Findings), 2022)

Using Commonsense Knowledge to Answer Why-Questions. - Yash Kumar Lal; Niket Tandon; Tanvi Aggarwal; Horace Liu; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (EMNLP, 2022)

Using Developer Discussions to Guide Fixing Bugs in Software. - Sheena Panthaplackel; Milos Gligoric 001; Junyi Jessy Li; Raymond J. Mooney (EMNLP (Findings), 2022)

Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. - Jialin Wu; Raymond J. Mooney (EMNLP, 2022)

Towards Automated Error Analysis: Learning to Characterize Errors. - Tong Gao; Shivang Singh; Raymond J. Mooney (FLAIRS, 2022)

Zero-shot Video Moment Retrieval With Off-the-Shelf Models. - Anuj Diwan; Puyuan Peng; Raymond J. Mooney (TL4NLP, 2022)

Spoken language interaction with robots: Recommendations for future research. - 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; et al. (Comput. Speech Lang., 2022)

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 001; Huan Sun 001 (ACL (2), 2023)

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 (EMNLP (Demos), 2023)

Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. - Albert Yu 002; Raymond J. Mooney (ICLR, 2023)

Learning Deep Semantics for Test Completion. - Pengyu Nie 001; Rahul Banerjee; Junyi Jessy Li; Raymond J. Mooney; Milos Gligoric 001 (ICSE, 2023)

What is the Best Automated Metric for Text to Motion Generation? - Jordan Voas; Yili Wang; Qixing Huang; Raymond Mooney (SIGGRAPH Asia, 2023)

Language-guided Task Adaptation for Imitation Learning. - Prasoon Goyal; Raymond J. Mooney; Scott Niekum (CoRR, 2023)

Explaining Competitive-Level Programming Solutions using LLMs. - Jierui Li; Szymon Tworkowski; Yingying Wu; Raymond J. Mooney (CoRR, 2023)

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. - Ziru Chen; Michael White; Raymond J. Mooney; Ali Payani; Yu Su 001; Huan Sun 001 (ACL (1), 2024)

Multimodal Contextualized Semantic Parsing from Speech. - Jordan Voas; David Harwath; Raymond Mooney (ACL (1), 2024)

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 (EMNLP, 2024)

CAPE: Corrective Actions from Precondition Errors using Large Language Models. - Shreyas Sundara Raman; Vanya Cohen; Ifrah Idrees; Eric Rosen; Raymond Mooney; Stefanie Tellex; David Paulius (ICRA, 2024)

A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings. - Vanya Cohen; Jason Xinyu Liu; Raymond Mooney; Stefanie Tellex; David Watkins (IJCAI, 2024)

Natural Language Can Help Bridge the Sim2Real Gap. - Albert Yu 002; Adeline Foote; Raymond Mooney; Roberto Martín-Martín (Robotics: Science and Systems, 2024)

Measuring Sound Symbolism In Audio-Visual Models. - Wei-Cheng Tseng; Yi-Jen Shih; David Harwath; Raymond Mooney (SLT, 2024)

Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval. - Priyanka Mandikal; Raymond Mooney (CoRR, 2024)

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. - 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; et al. (CoRR, 2024)

Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs. - Jierui Li; Raymond Mooney (CoRR, 2024)

Compositional Instruction Following with Language Models and Reinforcement Learning. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Raymond Mooney; Benjamin Rosman (Trans. Mach. Learn. Res., 2024)

Text-Guided Interactive Scene Synthesis with Scene Prior Guidance. - Shaoheng Fang; Haitao Yang 005; Raymond Mooney; Qixing Huang (Comput. Graph. Forum, 2025)

MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models. - Vanya Cohen; Raymond Mooney (CoRR, 2025)

AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming. - Jierui Li; Raymond Mooney (CoRR, 2025)

Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation. - Albert Yu 002; Chengshu Li 002; Luca Macesanu; Arnav Balaji; Ruchira Ray; Raymond Mooney; Roberto Martín-Martín (CoRR, 2025)