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ORCIDRaymond J. Mooney
Raymond Mooney
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- affiliation: University of Texas at Austin, TX, USA
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2020 – today
- 2024
[c192]Jordan Voas, David Harwath, Raymond Mooney:
Multimodal Contextualized Semantic Parsing from Speech. ACL (1) 2024: 7354-7369- [c191]Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun:
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. ACL (1) 2024: 13659-13678 - [c190]Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney:
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. EMNLP 2024: 19336-19354 - [c189]Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Raymond Mooney, Stefanie Tellex, David Paulius:
CAPE: Corrective Actions from Precondition Errors using Large Language Models. ICRA 2024: 14070-14077 - [c188]Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins:
A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings. IJCAI 2024: 7999-8009 - [i63]Priyanka Mandikal, Raymond Mooney:
Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval. CoRR abs/2401.04055 (2024) - [i62]Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun:
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. CoRR abs/2402.10890 (2024) - [i61]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:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i60]Jierui Li, Raymond Mooney:
Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs. CoRR abs/2404.08148 (2024) - [i59]Albert Yu, Adeline Foote, Raymond Mooney, Roberto Martín-Martín:
Natural Language Can Help Bridge the Sim2Real Gap. CoRR abs/2405.10020 (2024) - [i58]Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins:
A Survey of Robotic Language Grounding: Tradeoffs Between Symbols and Embeddings. CoRR abs/2405.13245 (2024) - [i57]Jordan Voas, Raymond Mooney, David Harwath:
Multimodal Contextualized Semantic Parsing from Speech. CoRR abs/2406.06438 (2024) - [i56]Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney:
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. CoRR abs/2406.15823 (2024) - 2023
- [c187]Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun:
Text-to-SQL Error Correction with Language Models of Code. ACL (2) 2023: 1359-1372 - [c186]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:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - [c185]Albert Yu, Raymond J. Mooney:
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. ICLR 2023 - [c184]Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Learning Deep Semantics for Test Completion. ICSE 2023: 2111-2123 - [c183]Jordan Voas
, Yili Wang, Qixing Huang, Raymond Mooney:
What is the Best Automated Metric for Text to Motion Generation? SIGGRAPH Asia 2023: 44:1-44:11 - [i55]Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Language-guided Task Adaptation for Imitation Learning. CoRR abs/2301.09770 (2023) - [i54]Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Learning Deep Semantics for Test Completion. CoRR abs/2302.10166 (2023) - [i53]Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun:
Text-to-SQL Error Correction with Language Models of Code. CoRR abs/2305.13073 (2023) - [i52]Jierui Li, Szymon Tworkowski, Yingying Wu, Raymond J. Mooney:
Explaining Competitive-Level Programming Solutions using LLMs. CoRR abs/2307.05337 (2023) - [i51]Jordan Voas, Yili Wang, Qixing Huang, Raymond Mooney:
What is the Best Automated Metric for Text to Motion Generation? CoRR abs/2309.10248 (2023) - 2022
- [j25]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:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [c182]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Learning to Describe Solutions for Bug Reports Based on Developer Discussions. ACL (Findings) 2022: 2935-2952 - [c181]Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Impact of Evaluation Methodologies on Code Summarization. ACL (1) 2022: 4936-4960 - [c180]Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
Using Commonsense Knowledge to Answer Why-Questions. EMNLP 2022: 1204-1219 - [c179]Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Using Developer Discussions to Guide Fixing Bugs in Software. EMNLP (Findings) 2022: 2292-2301 - [c178]Jialin Wu, Raymond J. Mooney:
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. EMNLP 2022: 8061-8072 - [c177]Tong Gao, Shivang Singh, Raymond J. Mooney:
Towards Automated Error Analysis: Learning to Characterize Errors. FLAIRS 2022 - [c176]Anuj Diwan, Puyuan Peng, Raymond J. Mooney:
Zero-shot Video Moment Retrieval With Off-the-Shelf Models. TL4NLP 2022: 10-21 - [i50]Tong Gao, Shivang Singh, Raymond J. Mooney:
Towards Automated Error Analysis: Learning to Characterize Errors. CoRR abs/2201.05017 (2022) - [i49]Albert Yu, Raymond J. Mooney:
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. CoRR abs/2210.04476 (2022) - [i48]Jialin Wu, Raymond J. Mooney:
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR abs/2210.10176 (2022) - [i47]Anuj Diwan, Puyuan Peng, Raymond J. Mooney:
Zero-shot Video Moment Retrieval With Off-the-Shelf Models. CoRR abs/2211.02178 (2022) - [i46]Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Using Developer Discussions to Guide Fixing Bugs in Software. CoRR abs/2211.06335 (2022) - 2021
- [c175]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. AAAI 2021: 427-435 - [c174]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog Policy Learning for Joint Clarification and Active Learning Queries. AAAI 2021: 13604-13612 - [c173]Raymond J. Mooney, Jude W. Shavlik:
A Recap of Early Work on Theory and Knowledge Refinement. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c172]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) 2021: 596-610 - [i45]Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric:
Learning to Generate Code Comments from Class Hierarchies. CoRR abs/2103.13426 (2021) - [i44]Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Zero-shot Task Adaptation using Natural Language. CoRR abs/2106.02972 (2021) - [i43]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR abs/2106.06132 (2021) - [i42]Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Evaluation Methodologies for Code Learning Tasks. CoRR abs/2108.09619 (2021) - [i41]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Learning to Describe Solutions for Bug Reports Based on Developer Discussions. CoRR abs/2110.04353 (2021) - 2020
- [j24]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. 67: 327-374 (2020) - [c171]Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. AAAI 2020: 8592-8599 - [c170]Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Learning to Update Natural Language Comments Based on Code Changes. ACL 2020: 1853-1868 - [c169]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRL 2020: 485-497 - [c168]Tong Gao, Qi Huang, Raymond J. Mooney:
Systematic Generalization on gSCAN with Language Conditioned Embedding. AACL/IJCNLP 2020: 491-503 - [i40]Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Learning to Update Natural Language Comments Based on Code Changes. CoRR abs/2004.12169 (2020) - [i39]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog Policy Learning for Joint Clarification and Active Learning Queries. CoRR abs/2006.05456 (2020) - [i38]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog as a Vehicle for Lifelong Learning. CoRR abs/2006.14767 (2020) - [i37]Jialin Wu, Liyan Chen, Raymond J. Mooney:
Improving VQA and its Explanations by Comparing Competing Explanations. CoRR abs/2006.15631 (2020) - [i36]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRR abs/2007.15543 (2020) - [i35]Tong Gao, Qi Huang, Raymond J. Mooney:
Systematic Generalization on gSCAN with Language Conditioned Embedding. CoRR abs/2009.05552 (2020) - [i34]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. CoRR abs/2010.01625 (2020)
2010 – 2019
- 2019
- [c167]Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. ACL (1) 2019: 3585-3594 - [c166]Julia Strout, Ye Zhang, Raymond J. Mooney:
Do Human Rationales Improve Machine Explanations? BlackboxNLP@ACL 2019: 56-62 - [c165]Jialin Wu, Raymond J. Mooney:
Faithful Multimodal Explanation for Visual Question Answering. BlackboxNLP@ACL 2019: 103-112 - [c164]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA 2019: 6934-6941 - [c163]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. IJCAI 2019: 2385-2391 - [c162]Jialin Wu, Raymond J. Mooney:
Self-Critical Reasoning for Robust Visual Question Answering. NeurIPS 2019: 8601-8611 - [c161]Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
A framework for writing trigger-action todo comments in executable format. ESEC/SIGSOFT FSE 2019: 385-396 - [c160]Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. ICSR 2019: 133-143 - [i33]Jialin Wu, Raymond J. Mooney:
Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder. ViGIL@NeurIPS 2019 - [i32]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR abs/1903.00122 (2019) - [i31]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. CoRR abs/1903.02020 (2019) - [i30]Jialin Wu, Raymond J. Mooney:
Self-Critical Reasoning for Robust Visual Question Answering. CoRR abs/1905.09998 (2019) - [i29]Julia Strout, Ye Zhang, Raymond J. Mooney:
Do Human Rationales Improve Machine Explanations? CoRR abs/1905.13714 (2019) - [i28]Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. CoRR abs/1906.00513 (2019) - [i27]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:
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. CoRR abs/1908.02308 (2019) - [i26]Jialin Wu, Raymond J. Mooney:
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder. CoRR abs/1910.14208 (2019) - [i25]Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. CoRR abs/1912.06728 (2019) - 2018
- [c159]Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. AAAI Workshops 2018: 775-778 - [c158]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI 2018: 5520-5527 - [c157]Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. EMNLP 2018: 1347-1357 - [c156]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking with Auxiliary Features for Visual Question Answering. NAACL-HLT 2018: 2217-2226 - [i24]Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Joint Image Captioning and Question Answering. CoRR abs/1805.08389 (2018) - [i23]Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Executable Trigger-Action Comments. CoRR abs/1808.01729 (2018) - [i22]Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. CoRR abs/1808.10009 (2018) - [i21]Jialin Wu, Raymond J. Mooney:
Faithful Multimodal Explanation for Visual Question Answering. CoRR abs/1809.02805 (2018) - [i20]Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR abs/1810.02919 (2018) - 2017
- [j23]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:
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36(5-7): 635-659 (2017) - [c155]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney:
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL 2017: 20-24 - [c154]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL 2017: 67-76 - [c153]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CVPR 2017: 1170-1178 - [c152]Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney:
Integrated Learning of Dialog Strategies and Semantic Parsing. EACL (1) 2017: 547-557 - [c151]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. IJCAI 2017: 2634-2640 - [c150]Jesse Thomason, Raymond J. Mooney:
Multi-Modal Word Synset Induction. IJCAI 2017: 4116-4122 - [c149]Rodolfo Corona, Jesse Thomason, Raymond J. Mooney:
Improving Black-box Speech Recognition using Semantic Parsing. IJCNLP(2) 2017: 122-127 - [c148]Shobhit Chaurasia, Raymond J. Mooney:
Dialog for Language to Code. IJCNLP(2) 2017: 175-180 - [c147]Elisa Ferracane, Su Wang, Raymond J. Mooney:
Leveraging Discourse Information Effectively for Authorship Attribution. IJCNLP(1) 2017: 584-593 - [i19]Su Wang, Elisa Ferracane, Raymond J. Mooney:
Leveraging Discourse Information Effectively for Authorship Attribution. CoRR abs/1709.02271 (2017) - 2016
- [j22]Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney:
Representing Meaning with a Combination of Logical and Distributional Models. Comput. Linguistics 42(4): 763-808 (2016) - [c146]Karl Pichotta, Raymond J. Mooney:
Learning Statistical Scripts with LSTM Recurrent Neural Networks. AAAI 2016: 2800-2806 - [c145]Karl Pichotta, Raymond J. Mooney:
Using Sentence-Level LSTM Language Models for Script Inference. ACL (1) 2016 - [c144]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR 2016: 1-10 - [c143]Nazneen Fatema Rajani, Raymond J. Mooney:
Combining Supervised and Unsupervised Enembles for Knowledge Base Population. EMNLP 2016: 1943-1948 - [c142]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP 2016: 1961-1966 - [c141]Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney:
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI 2016: 3477-3483 - [i18]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. TAC 2016 - [i17]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR abs/1604.01729 (2016) - [i16]Karl Pichotta, Raymond J. Mooney:
Using Sentence-Level LSTM Language Models for Script Inference. CoRR abs/1604.02993 (2016) - [i15]Nazneen Fatema Rajani, Raymond J. Mooney:
Supervised and Unsupervised Ensembling for Knowledge Base Population. CoRR abs/1604.04802 (2016) - [i14]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. CoRR abs/1605.08764 (2016) - [i13]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CoRR abs/1606.07770 (2016) - 2015
- [c140]Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population. ACL (1) 2015: 177-187 - [c139]Chris Quirk, Raymond J. Mooney, Michel Galley:
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. ACL (1) 2015: 878-888 - [c138]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [c137]Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone:
Learning to Interpret Natural Language Commands through Human-Robot Dialog. IJCAI 2015: 1923-1929 - [c136]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL 2015: 1494-1504 - [i12]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. TAC 2015 - [i11]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i10]Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney:
Representing Meaning with a Combination of Logical Form and Vectors. CoRR abs/1505.06816 (2015) - [i9]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR abs/1511.05284 (2015) - 2014
- [c135]Islam Beltagy, Raymond J. Mooney:
Efficient Markov Logic Inference for Natural Language Semantics. StarAI@AAAI 2014 - [c134]Islam Beltagy, Katrin Erk, Raymond J. Mooney:
Probabilistic Soft Logic for Semantic Textual Similarity. ACL (1) 2014: 1210-1219 - [c133]Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney:
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING 2014: 1218-1227 - [c132]Karl Pichotta, Raymond J. Mooney:
Statistical Script Learning with Multi-Argument Events. EACL 2014: 220-229 - [c131]Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh:
Active Multitask Learning Using Both Latent and Supervised Shared Topics. SDM 2014: 190-198 - [c130]Islam Beltagy, Stephen Roller, Gemma Boleda, Katrin Erk, Raymond J. Mooney:
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic. SemEval@COLING 2014: 796-801 - [i8]David L. Chen, Joohyun Kim, Raymond J. Mooney:
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. CoRR abs/1405.7711 (2014) - [i7]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR abs/1412.4729 (2014) - 2013
- [c129]Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama:
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI 2013: 541-547 - [c128]Sindhu Raghavan, Raymond J. Mooney:
Online Inference-Rule Learning from Natural-Language Extractions. StarAI@AAAI 2013 - [c127]Joohyun Kim, Raymond J. Mooney:
Adapting Discriminative Reranking to Grounded Language Learning. ACL (1) 2013: 218-227 - [c126]Shruti Bhosale, Heath Vinicombe, Raymond J. Mooney:
Detecting Promotional Content in Wikipedia. EMNLP 2013: 1851-1857 - [c125]Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV 2013: 2712-2719 - [c124]Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka:
Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) 2013: 369-384 - [c123]Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond J. Mooney:
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. *SEM@NAACL-HLT 2013: 11-21 - [i6]Yinon Bentor, Amelia Harrison, Shruti Bhosale, Raymond J. Mooney:
University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference. TAC 2013 - 2012
- [c122]Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku:
Learning to "Read Between the Lines" using Bayesian Logic Programs. ACL (1) 2012: 349-358 - [c121]Raymond J. Mooney:
Learning Language from Perceptual Context. EACL 2012: 602 - [c120]Tanvi S. Motwani, Raymond J. Mooney:
Improving Video Activity Recognition using Object Recognition and Text Mining. ECAI 2012: 600-605 - [c119]Joohyun Kim, Raymond J. Mooney:
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. EMNLP-CoNLL 2012: 433-444 - 2011
- [c118]David L. Chen, Raymond J. Mooney:
Learning to Interpret Natural Language Navigation Instructions from Observations. AAAI 2011: 859-865 - [c117]Parag Singla, Raymond J. Mooney:
Abductive Markov Logic for Plan Recognition. AAAI 2011: 1069-1075 - [c116]Joseph Reisinger, Raymond J. Mooney:
Cross-Cutting Models of Lexical Semantics. EMNLP 2011: 1405-1415 - [c115]James Blythe, Jerry R. Hobbs, Pedro M. Domingos, Rohit J. Kate, Raymond J. Mooney:
Implementing Weighted Abduction in Markov Logic. IWCS 2011 - [c114]Dan Garrette, Katrin Erk, Raymond J. Mooney:
Integrating Logical Representations with Probabilistic Information using Markov Logic. IWCS 2011 - [c113]David L. Chen, Raymond J. Mooney:
Panning for gold: finding relevant semantic content for grounded language learning. MLSLP 2011: 26-30 - [c112]Raymond J. Mooney:
Learning Language from Its Perceptual Context. PADL 2011: 2-4 - [c111]Tuyen N. Huynh, Raymond J. Mooney:
Online Structure Learning for Markov Logic Networks. ECML/PKDD (2) 2011: 81-96 - [c110]Sindhu Raghavan, Raymond J. Mooney:
Abductive Plan Recognition by Extending Bayesian Logic Programs. ECML/PKDD (2) 2011: 629-644 - [c109]Tuyen N. Huynh, Raymond J. Mooney:
Online Max-Margin Weight Learning for Markov Logic Networks. SDM 2011: 642-651 - [i5]Cynthia A. Thompson, Raymond J. Mooney:
Acquiring Word-Meaning Mappings for Natural Language Interfaces. CoRR abs/1106.4571 (2011) - 2010
- [j21]David L. Chen, Joohyun Kim, Raymond J. Mooney:
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. J. Artif. Intell. Res. 37: 397-435 (2010) - [c108]Sonal Gupta, Raymond J. Mooney:
Using Closed Captions as Supervision for Video Activity Recognition. AAAI 2010: 1083-1088 - [c107]Tuyen N. Huynh, Raymond J. Mooney:
Online Max-Margin Weight Learning with Markov Logic Networks. StarAI@AAAI 2010 - [c106]Sindhu Raghavan, Raymond J. Mooney:
Bayesian Abductive Logic Programs. StarAI@AAAI 2010 - [c105]Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney:
Authorship Attribution Using Probabilistic Context-Free Grammars. ACL (2) 2010: 38-42 - [c104]Joohyun Kim, Raymond J. Mooney:
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. COLING (Posters) 2010: 543-551 - [c103]Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos, Chris Welty:
Learning to Predict Readability using Diverse Linguistic Features. COLING 2010: 546-554 - [c102]Rohit J. Kate, Raymond J. Mooney:
Joint Entity and Relation Extraction Using Card-Pyramid Parsing. CoNLL 2010: 203-212 - [c101]Joseph Reisinger, Raymond J. Mooney:
A Mixture Model with Sharing for Lexical Semantics. EMNLP 2010: 1173-1182 - [c100]Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney:
Spherical Topic Models. ICML 2010: 903-910 - [c99]Joseph Reisinger, Raymond J. Mooney:
Multi-Prototype Vector-Space Models of Word Meaning. HLT-NAACL 2010: 109-117
2000 – 2009
- 2009
- [j20]Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney:
Semi-supervised graph clustering: a kernel approach. Mach. Learn. 74(1): 1-22 (2009) - [c98]Ruifang Ge, Raymond J. Mooney:
Learning a Compositional Semantic Parser using an Existing Syntactic Parser. ACL/IJCNLP 2009: 611-619 - [c97]Sonal Gupta, Raymond J. Mooney:
Using closed captions to train activity recognizers that improve video retrieval. CVPR Workshops 2009: 30-37 - [c96]Lilyana Mihalkova, Raymond J. Mooney:
Transfer Learning from Minimal Target Data by Mapping across Relational Domains. IJCAI 2009: 1163-1168 - [c95]Lilyana Mihalkova, Raymond J. Mooney:
Learning to Disambiguate Search Queries from Short Sessions. ECML/PKDD (2) 2009: 111-127 - [c94]Tuyen N. Huynh, Raymond J. Mooney:
Max-Margin Weight Learning for Markov Logic Networks. ECML/PKDD (1) 2009: 564-579 - 2008
- [c93]Raymond J. Mooney:
Learning to Connect Language and Perception. AAAI 2008: 1598-1601 - [c92]David L. Chen, Raymond J. Mooney:
Learning to sportscast: a test of grounded language acquisition. ICML 2008: 128-135 - [c91]Tuyen N. Huynh, Raymond J. Mooney:
Discriminative structure and parameter learning for Markov logic networks. ICML 2008: 416-423 - [c90]Raymond J. Mooney:
Learning Language from Its Perceptual Context. ECML/PKDD (1) 2008: 5 - [c89]Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney:
Watch, Listen & Learn: Co-training on Captioned Images and Videos. ECML/PKDD (1) 2008: 457-472 - [c88]Raymond J. Mooney:
Transfer Learning by Mapping and Revising Relational Knowledge. SBIA 2008: 2-3 - [c87]Raymond J. Mooney:
Text Mining. SBIA 2008: 6 - 2007
- [c86]Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney:
Mapping and Revising Markov Logic Networks for Transfer Learning. AAAI 2007: 608-614 - [c85]Rohit J. Kate, Raymond J. Mooney:
Learning Language Semantics from Ambiguous Supervision. AAAI 2007: 895-900 - [c84]Razvan C. Bunescu, Raymond J. Mooney:
Learning to Extract Relations from the Web using Minimal Supervision. ACL 2007 - [c83]Yuk Wah Wong, Raymond J. Mooney:
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus. ACL 2007 - [c82]Raymond J. Mooney:
Learning for Semantic Parsing. CICLing 2007: 311-324 - [c81]Razvan C. Bunescu, Raymond J. Mooney:
Multiple instance learning for sparse positive bags. ICML 2007: 105-112 - [c80]Lilyana Mihalkova, Raymond J. Mooney:
Bottom-up learning of Markov logic network structure. ICML 2007: 625-632 - [c79]Rohit J. Kate, Raymond J. Mooney:
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. HLT-NAACL (Short Papers) 2007: 81-84 - [c78]Yuk Wah Wong, Raymond J. Mooney:
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation. HLT-NAACL 2007: 172-179 - 2006
- [c77]Ruifang Ge, Raymond J. Mooney:
Discriminative Reranking for Semantic Parsing. ACL 2006 - [c76]Rohit J. Kate, Raymond J. Mooney:
Using String-Kernels for Learning Semantic Parsers. ACL 2006 - [c75]Razvan C. Bunescu, Raymond J. Mooney, Arun K. Ramani, Edward M. Marcotte:
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. BioNLP@NAACL-HLT 2006: 49-56 - [c74]Lilyana Mihalkova, Raymond J. Mooney:
Using Active Relocation to Aid Reinforcement Learning. FLAIRS 2006: 580-585 - [c73]Stewart M. Yang, Jianping Song, Harish Rajamani, Tae Won Cho, Yin Zhang, Raymond J. Mooney:
Fast and Effective Worm Fingerprinting via Machine Learning. ICAC 2006: 311-313 - [c72]Mikhail Bilenko, Beena Kamath, Raymond J. Mooney:
Adaptive Blocking: Learning to Scale Up Record Linkage. ICDM 2006: 87-96 - [c71]Yuk Wah Wong, Raymond J. Mooney:
Learning for Semantic Parsing with Statistical Machine Translation. HLT-NAACL 2006 - [p1]Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney:
Probabilistic Semi-Supervised Clustering with Constraints. Semi-Supervised Learning 2006: 73-102 - 2005
- [j19]Razvan C. Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun K. Ramani, Yuk Wah Wong:
Comparative experiments on learning information extractors for proteins and their interactions. Artif. Intell. Medicine 33(2): 139-155 (2005) - [j18]Prem Melville, Raymond J. Mooney:
Creating diversity in ensembles using artificial data. Inf. Fusion 6(1): 99-111 (2005) - [j17]Raymond J. Mooney, Razvan C. Bunescu:
Mining knowledge from text using information extraction. SIGKDD Explor. 7(1): 3-10 (2005) - [c70]Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney:
Learning to Transform Natural to Formal Languages. AAAI 2005: 1062-1068 - [c69]Ruifang Ge, Raymond J. Mooney:
A Statistical Semantic Parser that Integrates Syntax and Semantics. CoNLL 2005: 9-16 - [c68]Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney:
Active Learning for Probability Estimation Using Jensen-Shannon Divergence. ECML 2005: 268-279 - [c67]Yuk Lai Suen, Prem Melville, Raymond J. Mooney:
Combining Bias and Variance Reduction Techniques for Regression Trees. ECML 2005: 741-749 - [c66]Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, Michael Dahlin:
Towards Self-Configuring Hardware for Distributed Computer Systems. ICAC 2005: 241-249 - [c65]Prem Melville, Foster J. Provost, Raymond J. Mooney:
An Expected Utility Approach to Active Feature-Value Acquisition. ICDM 2005: 745-748 - [c64]Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney:
Semi-supervised graph clustering: a kernel approach. ICML 2005: 457-464 - [c63]Arun K. Ramani, Razvan C. Bunescu, Raymond J. Mooney, Edward M. Marcotte:
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. LBLODMBS@IDMB 2005: 46-53 - [c62]Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney:
Model-based overlapping clustering. KDD 2005: 532-537 - [c61]Razvan C. Bunescu, Raymond J. Mooney:
A Shortest Path Dependency Kernel for Relation Extraction. HLT/EMNLP 2005: 724-731 - [c60]Razvan C. Bunescu, Raymond J. Mooney:
Subsequence Kernels for Relation Extraction. NIPS 2005: 171-178 - 2004
- [c59]Razvan C. Bunescu, Raymond J. Mooney:
Collective Information Extraction with Relational Markov Networks. ACL 2004: 438-445 - [c58]Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney:
Active Feature-Value Acquisition for Classifier Induction. ICDM 2004: 483-486 - [c57]Mikhail Bilenko, Sugato Basu, Raymond J. Mooney:
Integrating constraints and metric learning in semi-supervised clustering. ICML 2004 - [c56]Prem Melville, Raymond J. Mooney:
Diverse ensembles for active learning. ICML 2004 - [c55]Sugato Basu, Mikhail Bilenko, Raymond J. Mooney:
A probabilistic framework for semi-supervised clustering. KDD 2004: 59-68 - [c54]Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney:
Experiments on Ensembles with Missing and Noisy Data. Multiple Classifier Systems 2004: 293-302 - [c53]Sugato Basu, Arindam Banerjee, Raymond J. Mooney:
Active Semi-Supervision for Pairwise Constrained Clustering. SDM 2004: 333-344 - 2003
- [j16]Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg:
Adaptive Name Matching in Information Integration. IEEE Intell. Syst. 18(5): 16-23 (2003) - [j15]Cynthia A. Thompson, Raymond J. Mooney:
Acquiring Word-Meaning Mappings for Natural Language Interfaces. J. Artif. Intell. Res. 18: 1-44 (2003) - [j14]Mary Elaine Califf, Raymond J. Mooney:
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction. J. Mach. Learn. Res. 4: 177-210 (2003) - [c52]Mikhail Bilenko, Raymond J. Mooney:
Employing Trainable String Similarity Metrics for Information Integration. IIWeb 2003: 67-72 - [c51]Prem Melville, Raymond J. Mooney:
Constructing Diverse Classifier Ensembles using Artificial Training Examples. IJCAI 2003: 505-512 - [c50]Mikhail Bilenko, Raymond J. Mooney:
Adaptive duplicate detection using learnable string similarity measures. KDD 2003: 39-48 - 2002
- [c49]Prem Melville, Raymond J. Mooney, Ramadass Nagarajan:
Content-Boosted Collaborative Filtering for Improved Recommendations. AAAI/IAAI 2002: 187-192 - [c48]Un Yong Nahm, Raymond J. Mooney:
Mining soft-matching association rules. CIKM 2002: 681-683 - [c47]Sugato Basu, Arindam Banerjee, Raymond J. Mooney:
Semi-supervised Clustering by Seeding. ICML 2002: 27-34 - 2001
- [c46]Lappoon R. Tang, Raymond J. Mooney:
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing. ECML 2001: 466-477 - [c45]Un Yong Nahm, Raymond J. Mooney:
Mining Soft-Matching Rules from Textual Data. IJCAI 2001: 979-986 - [c44]Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh:
Evaluating the novelty of text-mined rules using lexical knowledge. KDD 2001: 233-238 - 2000
- [c43]Un Yong Nahm, Raymond J. Mooney:
A Mutually Beneficial Integration of Data Mining and Information Extraction. AAAI/IAAI 2000: 627-632 - [c42]Raymond J. Mooney, Loriene Roy:
Content-based book recommending using learning for text categorization. ACM DL 2000: 195-204 - [c41]Lappoon R. Tang, Raymond J. Mooney:
Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing. EMNLP 2000: 133-141
1990 – 1999
- 1999
- [j13]Claire Cardie, Raymond J. Mooney:
Guest Editors' Introduction: Machine Learning and Natural Language. Mach. Learn. 34(1-3): 5-9 (1999) - [c40]Mary Elaine Califf, Raymond J. Mooney:
Relational Learning of Pattern-Match Rules for Information Extraction. AAAI/IAAI 1999: 328-334 - [c39]Cynthia A. Thompson, Raymond J. Mooney:
Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces. AAAI/IAAI 1999: 487-493 - [c38]Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney:
Active Learning for Natural Language Parsing and Information Extraction. ICML 1999: 406-414 - [c37]Raymond J. Mooney:
Learning for Semantic Interpretation: Scaling Up without Dumbing Down. Learning Language in Logic 1999: 57-66 - [i4]Raymond J. Mooney, Loriene Roy:
Content-Based Book Recommending Using Learning for Text Categorization. CoRR cs.DL/9902011 (1999) - 1998
- [j12]Mary Elaine Califf, Raymond J. Mooney:
Advantages of Decision Lists and Implicit Negatives in Inductive Logic Programming. New Gener. Comput. 16(3): 263-281 (1998) - [c36]Cynthia A. Thompson, Raymond J. Mooney:
Semantic Lexicon Acquisition for Learning Natural Language Interfaces. VLC@COLING/ACL 1998 - [c35]Sowmya Ramachandran, Raymond J. Mooney:
Theory Refinement of Bayesian Networks with Hidden Variables. ICML 1998: 454-462 - 1997
- [j11]Eric Brill, Raymond J. Mooney:
An Overview of Empirical Natural Language Processing. AI Mag. 18(4): 13-24 (1997) - [c34]Ulf Hermjakob, Raymond J. Mooney:
Learning Parse and Translation Decisions from Examples with Rich Context. ACL 1997: 482-489 - [c33]Mary Elaine Califf, Raymond J. Mooney:
Relational Learning of Pattern-Match Rules for Information Extraction. CoNLL 1997: 9-15 - [c32]Tara A. Estlin, Raymond J. Mooney:
Learning to Improve both Efficiency and Quality of Planning. IJCAI 1997: 1227-1233 - [i3]Ulf Hermjakob, Raymond J. Mooney:
Learning Parse and Translation Decisions From Examples With Rich Context. CoRR cmp-lg/9706002 (1997) - 1996
- [c31]Paul T. Baffes, Raymond J. Mooney:
A Novel Application of Theory Refinement to Student Modeling. AAAI/IAAI, Vol. 1 1996: 403-408 - [c30]Tara A. Estlin, Raymond J. Mooney:
Multi-Strategy Learning of Search Control for Partial-Order Planning. AAAI/IAAI, Vol. 1 1996: 843-848 - [c29]Siddarth Subramanian, Raymond J. Mooney:
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes. AAAI/IAAI, Vol. 2 1996: 965-970 - [c28]John M. Zelle, Raymond J. Mooney:
Learning to Parse Database Queries Using Inductive Logic Programming. AAAI/IAAI, Vol. 2 1996: 1050-1055 - [c27]Raymond J. Mooney:
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning. EMNLP 1996 - [c26]Raymond J. Mooney:
Inductive Logic Programming for Natural Language Processing. Inductive Logic Programming Workshop 1996: 3-22 - [i2]Raymond J. Mooney:
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning. CoRR cmp-lg/9612001 (1996) - 1995
- [j10]Raymond J. Mooney, Mary Elaine Califf:
Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs. J. Artif. Intell. Res. 3: 1-24 (1995) - [j9]Raymond J. Mooney:
Encouraging Experimental Results on Learning CNF. Mach. Learn. 19(1): 79-92 (1995) - [j8]Bradley L. Richards, Raymond J. Mooney:
Automated Refinement of First-Order Horn-Clause Domain Theories. Mach. Learn. 19(2): 95-131 (1995) - [c25]John M. Zelle, Raymond J. Mooney:
Comparative results on using inductive logic programming for corpus-based parser construction. Learning for Natural Language Processing 1995: 355-369 - [c24]Raymond J. Mooney, Mary Elaine Califf:
Learning the past tense of English verbs using inductive logic programming. Learning for Natural Language Processing 1995: 370-384 - [i1]Raymond J. Mooney, Mary Elaine Califf:
Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs. CoRR abs/cs/9506102 (1995) - 1994
- [j7]Dirk Ourston, Raymond J. Mooney:
Theory Refinement Combining Analytical and Empirical Methods. Artif. Intell. 66(2): 273-309 (1994) - [j6]Raymond J. Mooney, John M. Zelle:
Integrating ILP and EBL. SIGART Bull. 5(1): 12-21 (1994) - [c23]Cynthia A. Thompson, Raymond J. Mooney:
Inductive Learning For Abductive Diagnosis. AAAI 1994: 664-669 - [c22]John M. Zelle, Raymond J. Mooney:
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach. AAAI 1994: 748-753 - [c21]J. Jeffrey Mahoney, Raymond J. Mooney:
Comparing Methods for Refining Certainty-Factor Rule-Bases. ICML 1994: 173-180 - [c20]John M. Zelle, Raymond J. Mooney, Joshua B. Konvisser:
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. ICML 1994: 343-351 - 1993
- [j5]Paul T. Baffes, Raymond J. Mooney:
Extending Theory Refinement to M-of-N Rules. Informatica (Slovenia) 17(4) (1993) - [j4]Raymond J. Mooney:
Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning. Mach. Learn. 10: 79-110 (1993) - [c19]John M. Zelle, Raymond J. Mooney:
Learning Semantic Grammars with Constructive Inductive Logic Programming. AAAI 1993: 817-822 - [c18]John M. Zelle, Raymond J. Mooney:
Combining FOIL and EBG to Speed-up Logic Programs. IJCAI 1993: 1106-1113 - [c17]Paul T. Baffes, Raymond J. Mooney:
Symbolic Revision of Theories with M-of-N Rules. IJCAI 1993: 1135-1142 - 1992
- [c16]Bradley L. Richards, Raymond J. Mooney:
Learning Relations by Pathfinding. AAAI 1992: 50-55 - [c15]Hwee Tou Ng, Raymond J. Mooney:
Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation. KR 1992: 499-508 - [c14]J. Jeffrey Mahoney, Raymond J. Mooney:
Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases. NIPS 1992: 107-114 - 1991
- [j3]Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell:
Symbolic and Neural Learning Algorithms: An Experimental Comparison. Mach. Learn. 6: 111-143 (1991) - [c13]Hwee Tou Ng, Raymond J. Mooney:
An Efficient First-Order Horn-Clause Abduction System Based on the ATMS. AAAI 1991: 494-499 - [c12]Raymond J. Mooney, Dirk Ourston:
Constructive Induction in Theory Refinement. ML 1991: 178-182 - [c11]Bradley L. Richards, Raymond J. Mooney:
First-Order Theory Revision. ML 1991: 447-451 - [c10]Dirk Ourston, Raymond J. Mooney:
Improving Shared Rules in Multiple Category Domain Theories. ML 1991: 534-538 - 1990
- [j2]Raymond J. Mooney:
Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition. Cogn. Sci. 14(4): 483-509 (1990) - [c9]Hwee Tou Ng, Raymond J. Mooney:
On the Role of Coherence in Abductive Explanation. AAAI 1990: 337-342 - [c8]Dirk Ourston, Raymond J. Mooney:
Changing the Rules: A Comprehensive Approach to Theory Refinement. AAAI 1990: 815-820 - [e1]Bruce W. Porter, Raymond J. Mooney:
Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990. Morgan Kaufmann 1990, ISBN 1-55860-141-4 [contents]
1980 – 1989
- 1989
- [c7]Raymond J. Mooney, Dirk Ourston:
Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects. ML 1989: 5-7 - [c6]Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell:
Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. ML 1989: 169-173 - [c5]Raymond J. Mooney:
The Effect of Rule Use on the Utility of Explanation-Based Learning. IJCAI 1989: 725-730 - [c4]Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove:
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. IJCAI 1989: 775-780 - 1988
- [b1]Raymond J. Mooney:
A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding. University of Illinois Urbana-Champaign, USA, 1988 - [c3]Raymond J. Mooney:
Generalizing the Order of Operators in Macro-Operators. ML 1988: 270-283 - 1986
- [j1]Gerald DeJong, Raymond J. Mooney:
Explanation-Based Learning: An Alternative View. Mach. Learn. 1(2): 145-176 (1986) - [c2]Raymond J. Mooney, Scott W. Bennett:
A Domain Independent Explanation-Based Generalizer. AAAI 1986: 551-555 - 1985
- [c1]Raymond J. Mooney, Gerald DeJong:
Learning Schemata for Natural Language Processing. IJCAI 1985: 681-687
Coauthor Index
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