Raymond J. Mooney

Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Update Natural Language Comments Based on Code Changes.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Associating Natural Language Comment and Source Code Entities.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps.

[BibT_eX]

[DOI]

CoRR, 2019

Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance.

[BibT_eX]

[DOI]

Proceedings of the Social Robotics - 11th International Conference, 2019

A framework for writing trigger-action todo comments in executable format.

[BibT_eX]

[DOI]

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Self-Critical Reasoning for Robust Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Using Natural Language for Reward Shaping in Reinforcement Learning.

[BibT_eX]

[DOI]

Prasoon Goyal

Scott Niekum

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Grounded Natural Language Understanding through Human-Robot Dialog.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Faithful Multimodal Explanation for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Do Human Rationales Improve Machine Explanations?

[BibT_eX]

[DOI]

Julia Strout

Ye Zhang

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Generating Question Relevant Captions to Aid Visual Question Answering.

[BibT_eX]

[DOI]

Zeyuan Hu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence.

[BibT_eX]

[DOI]

CoRR, 2018

Executable Trigger-Action Comments.

[BibT_eX]

[DOI]

CoRR, 2018

Joint Image Captioning and Question Answering.

[BibT_eX]

[DOI]

Zeyuan Hu

CoRR, 2018

Stacking with Auxiliary Features for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning a Policy for Opportunistic Active Learning.

[BibT_eX]

[DOI]

Aishwarya Padmakumar

Peter Stone

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

BWIBots: A platform for bridging the gap between AI and human-robot interaction research.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Leveraging Discourse Information Effectively for Authorship Attribution.

[BibT_eX]

[DOI]

Elisa Ferracane

Su Wang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Improving Black-box Speech Recognition using Semantic Parsing.

[BibT_eX]

[DOI]

Rodolfo Corona

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Dialog for Language to Code.

[BibT_eX]

[DOI]

Shobhit Chaurasia

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Multi-Modal Word Synset Induction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stacking With Auxiliary Features.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Integrated Learning of Dialog Strategies and Semantic Parsing.

[BibT_eX]

[DOI]

Aishwarya Padmakumar

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Captioning Images with Diverse Objects.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Opportunistic Active Learning for Grounding Natural Language Descriptions.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Guiding Interaction Behaviors for Multi-modal Grounded Language Learning.

[BibT_eX]

[DOI]

Jivko Sinapov

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016

Supervised and Unsupervised Ensembling for Knowledge Base Population.

[BibT_eX]

[DOI]

CoRR, 2016

Representing Meaning with a Combination of Logical and Distributional Models.

[BibT_eX]

[DOI]

Comput. Linguistics, 2016

Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 2016 Text Analysis Conference, 2016

Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy".

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text.

[BibT_eX]

[DOI]

Lisa Anne Hendricks

Kate Saenko

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Combining Supervised and Unsupervised Enembles for Knowledge Base Population.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data.

[BibT_eX]

[DOI]

Lisa Anne Hendricks

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Using Sentence-Level LSTM Language Models for Script Inference.

[BibT_eX]

[DOI]

Karl Pichotta

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Statistical Scripts with LSTM Recurrent Neural Networks.

[BibT_eX]

[DOI]

Karl Pichotta

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Representing Meaning with a Combination of Logical Form and Vectors.

[BibT_eX]

[DOI]

CoRR, 2015

Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches.

[BibT_eX]

[DOI]

Proceedings of the 2015 Text Analysis Conference, 2015

Translating Videos to Natural Language Using Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning to Interpret Natural Language Commands through Human-Robot Dialog.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Sequence to Sequence - Video to Text.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Stacked Ensembles of Information Extractors for Knowledge-Base Population.

[BibT_eX]

[DOI]

Vidhoon Viswanathan

Yinon Bentor

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes.

[BibT_eX]

[DOI]

Chris Quirk

Michel Galley

2014

UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Active Multitask Learning Using Both Latent and Supervised Shared Topics.

[BibT_eX]

[DOI]

Ayan Acharya

Joydeep Ghosh

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Statistical Script Learning with Multi-Argument Events.

[BibT_eX]

[DOI]

Karl Pichotta

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild.

[BibT_eX]

[DOI]

Sergio Guadarrama

Kate Saenko

Proceedings of the COLING 2014, 2014

Probabilistic Soft Logic for Semantic Textual Similarity.

[BibT_eX]

[DOI]

Islam Beltagy

Katrin Erk

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Efficient Markov Logic Inference for Natural Language Semantics.

[BibT_eX]

[DOI]

Islam Beltagy

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference.

[BibT_eX]

[DOI]

Proceedings of the Sixth Text Analysis Conference, 2013

Montague Meets Markov: Deep Semantics with Probabilistic Logical Form.

[BibT_eX]

[DOI]

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Using Both Latent and Supervised Shared Topics for Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition.

[BibT_eX]

[DOI]

Sergio Guadarrama

Niveda Krishnamoorthy

Girish Malkarnenkar

Trevor Darrell

Kate Saenko

Proceedings of the IEEE International Conference on Computer Vision, 2013

Detecting Promotional Content in Wikipedia.

[BibT_eX]

[DOI]

Shruti Bhosale

Heath Vinicombe

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Adapting Discriminative Reranking to Grounded Language Learning.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Online Inference-Rule Learning from Natural-Language Extractions.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2013

Generating Natural-Language Video Descriptions Using Text-Mined Knowledge.

[BibT_eX]

[DOI]

Niveda Krishnamoorthy

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Improving Video Activity Recognition using Object Recognition and Text Mining.

[BibT_eX]

[DOI]

Tanvi S. Motwani

Proceedings of the ECAI 2012, 2012

Learning Language from Perceptual Context.

[BibT_eX]

[DOI]

Proceedings of the EACL 2012, 2012

Learning to "Read Between the Lines" using Bayesian Logic Programs.

[BibT_eX]

[DOI]

Hyeonseo Ku

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Abductive Plan Recognition by Extending Bayesian Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Online Structure Learning for Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Learning Language from Its Perceptual Context.

[BibT_eX]

[DOI]

Proceedings of the Practical Aspects of Declarative Languages, 2011

Panning for gold: finding relevant semantic content for grounded language learning.

[BibT_eX]

[DOI]

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Integrating Logical Representations with Probabilistic Information using Markov Logic.

[BibT_eX]

[DOI]

Dan Garrette

Katrin Erk

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Implementing Weighted Abduction in Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Cross-Cutting Models of Lexical Semantics.

[BibT_eX]

[DOI]

Joseph Reisinger

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Abductive Markov Logic for Plan Recognition.

[BibT_eX]

[DOI]

Parag Singla

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Learning to Interpret Natural Language Navigation Instructions from Observations.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2010

Multi-Prototype Vector-Space Models of Word Meaning.

[BibT_eX]

[DOI]

Joseph Reisinger

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Spherical Topic Models.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Mixture Model with Sharing for Lexical Semantics.

[BibT_eX]

[DOI]

Joseph Reisinger

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Joint Entity and Relation Extraction Using Card-Pyramid Parsing.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision.

[BibT_eX]

[DOI]

Proceedings of the COLING 2010, 2010

Learning to Predict Readability using Diverse Linguistic Features.

[BibT_eX]

[DOI]

Proceedings of the COLING 2010, 2010

Authorship Attribution Using Probabilistic Context-Free Grammars.

[BibT_eX]

[DOI]

Adriana Kovashka

Proceedings of the ACL 2010, 2010

Bayesian Abductive Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Online Max-Margin Weight Learning with Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Using Closed Captions as Supervision for Video Activity Recognition.

[BibT_eX]

[DOI]

Sonal Gupta

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Semi-supervised graph clustering: a kernel approach.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Learning to Disambiguate Search Queries from Short Sessions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Max-Margin Weight Learning for Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Transfer Learning from Minimal Target Data by Mapping across Relational Domains.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

Using closed captions to train activity recognizers that improve video retrieval.

[BibT_eX]

[DOI]

Sonal Gupta

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Learning a Compositional Semantic Parser using an Existing Syntactic Parser.

[BibT_eX]

[DOI]

Ruifang Ge

Proceedings of the ACL 2009, 2009

2008

Text Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

Transfer Learning by Mapping and Revising Relational Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

Watch, Listen & Learn: Co-training on Captioned Images and Videos.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Discriminative structure and parameter learning for Markov logic networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Learning to sportscast: a test of grounded language acquisition.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Learning to Connect Language and Perception.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Semi-Supervised Learning for Semantic Parsing using Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Bottom-up learning of Markov logic network structure.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Multiple instance learning for sparse positive bags.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Learning for Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2007

Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus.

[BibT_eX]

[DOI]

Proceedings of the ACL 2007, 2007

Learning to Extract Relations from the Web using Minimal Supervision.

[BibT_eX]

[DOI]

Proceedings of the ACL 2007, 2007

Mapping and Revising Markov Logic Networks for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Learning Language Semantics from Ambiguous Supervision.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Learning for Semantic Parsing with Statistical Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Adaptive Blocking: Learning to Scale Up Record Linkage.

[BibT_eX]

[DOI]

Beena Kamath

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Fast and Effective Worm Fingerprinting via Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Autonomic Computing, 2006

Using Active Relocation to Aid Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Linking Natural Language and Biology, 2006

Using String-Kernels for Learning Semantic Parsers.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Discriminative Reranking for Semantic Parsing.

[BibT_eX]

[DOI]

Ruifang Ge

Proceedings of the ACL 2006, 2006

Probabilistic Semi-Supervised Clustering with Constraints.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

Mining knowledge from text using information extraction.

[BibT_eX]

[DOI]

SIGKDD Explor., 2005

Creating diversity in ensembles using artificial data.

[BibT_eX]

[DOI]

Inf. Fusion, 2005

Comparative experiments on learning information extractors for proteins and their interactions.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2005

Subsequence Kernels for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Shortest Path Dependency Kernel for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the HLT/EMNLP 2005, 2005

Model-based overlapping clustering.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions.

[BibT_eX]

[DOI]

Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, 2005

An Expected Utility Approach to Active Feature-Value Acquisition.

[BibT_eX]

[DOI]

Foster J. Provost

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Towards Self-Configuring Hardware for Distributed Computer Systems.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

Combining Bias and Variance Reduction Techniques for Regression Trees.

[BibT_eX]

[DOI]

Yuk Lai Suen

Proceedings of the Machine Learning: ECML 2005, 2005

Active Learning for Probability Estimation Using Jensen-Shannon Divergence.

[BibT_eX]

[DOI]

Stewart M. Yang

Maytal Saar-Tsechansky

Proceedings of the Machine Learning: ECML 2005, 2005

A Statistical Semantic Parser that Integrates Syntax and Semantics.

[BibT_eX]

[DOI]

Ruifang Ge

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Learning to Transform Natural to Formal Languages.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

2004

Active Semi-Supervision for Pairwise Constrained Clustering.

[BibT_eX]

[DOI]

Arindam Banerjee

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Experiments on Ensembles with Missing and Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

A probabilistic framework for semi-supervised clustering.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Diverse ensembles for active learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Integrating constraints and metric learning in semi-supervised clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Active Feature-Value Acquisition for Classifier Induction.

[BibT_eX]

[DOI]

Maytal Saar-Tsechansky

Foster J. Provost

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Collective Information Extraction with Relational Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003

Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Acquiring Word-Meaning Mappings for Natural Language Interfaces.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2003

Adaptive Name Matching in Information Integration.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2003

Adaptive duplicate detection using learnable string similarity measures.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Constructing Diverse Classifier Ensembles using Artificial Training Examples.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Employing Trainable String Similarity Metrics for Information Integration.

[BibT_eX]

[DOI]

Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

2002

Semi-supervised Clustering by Seeding.

[BibT_eX]

Arindam Banerjee

Proceedings of the Machine Learning, 2002

Mining soft-matching association rules.

[BibT_eX]

[DOI]

Un Yong Nahm

Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Content-Boosted Collaborative Filtering for Improved Recommendations.

[BibT_eX]

[DOI]

Ramadass Nagarajan

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Evaluating the novelty of text-mined rules using lexical knowledge.

[BibT_eX]

[DOI]

Krupakar V. Pasupuleti

Joydeep Ghosh

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Mining Soft-Matching Rules from Textual Data.

[BibT_eX]

Un Yong Nahm

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing.

[BibT_eX]

[DOI]

Lappoon R. Tang

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing.

[BibT_eX]

[DOI]

Lappoon R. Tang

Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000

Content-based book recommending using learning for text categorization.

[BibT_eX]

[DOI]

Loriene Roy

Proceedings of the Fifth ACM Conference on Digital Libraries, 2000

A Mutually Beneficial Integration of Data Mining and Information Extraction.

[BibT_eX]

[DOI]

Un Yong Nahm

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Guest Editors' Introduction: Machine Learning and Natural Language.

[BibT_eX]

[DOI]

Claire Cardie

Mach. Learn., 1999

Learning for Semantic Interpretation: Scaling Up without Dumbing Down.

[BibT_eX]

[DOI]

Proceedings of the Learning Language in Logic, 1999

Active Learning for Natural Language Parsing and Information Extraction.

[BibT_eX]

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

Relational Learning of Pattern-Match Rules for Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Advantages of Decision Lists and Implicit Negatives in Inductive Logic Programming.

[BibT_eX]

[DOI]

New Gener. Comput., 1998

Theory Refinement of Bayesian Networks with Hidden Variables.

[BibT_eX]

Sowmya Ramachandran

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Semantic Lexicon Acquisition for Learning Natural Language Interfaces.

[BibT_eX]

[DOI]

Proceedings of the Sixth Workshop on Very Large Corpora, 1998

1997

An Overview of Empirical Natural Language Processing.

[BibT_eX]

[DOI]

Eric Brill

AI Mag., 1997

Learning to Improve both Efficiency and Quality of Planning.

[BibT_eX]

[DOI]

Tara A. Estlin

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Learning Parse and Translation Decisions from Examples with Rich Context.

[BibT_eX]

[DOI]

Ulf Hermjakob

Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics, 1997

1996

Inductive Logic Programming for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1996

Learning to Parse Database Queries Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes.

[BibT_eX]

[DOI]

Siddarth Subramanian

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Multi-Strategy Learning of Search Control for Partial-Order Planning.

[BibT_eX]

[DOI]

Tara A. Estlin

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

A Novel Application of Theory Refinement to Student Modeling.

[BibT_eX]

[DOI]

Paul T. Baffes

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Automated Refinement of First-Order Horn-Clause Domain Theories.

[BibT_eX]

[DOI]

Bradley L. Richards

Mach. Learn., 1995

Encouraging Experimental Results on Learning CNF.

[BibT_eX]

[DOI]

Mach. Learn., 1995

Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1995

Comparative results on using inductive logic programming for corpus-based parser construction.

[BibT_eX]

[DOI]

Proceedings of the Connectionist, 1995

Learning the past tense of English verbs using inductive logic programming.

[BibT_eX]

[DOI]

Proceedings of the Connectionist, 1995

1994

Integrating ILP and EBL.

[BibT_eX]

[DOI]

SIGART Bull., 1994

Theory Refinement Combining Analytical and Empirical Methods.

[BibT_eX]

[DOI]

Artif. Intell., 1994

Combining Top-down and Bottom-up Techniques in Inductive Logic Programming.

[BibT_eX]

[DOI]

Joshua B. Konvisser

Proceedings of the Machine Learning, 1994

Comparing Methods for Refining Certainty-Factor Rule-Bases.

[BibT_eX]

[DOI]

J. Jeffrey Mahoney

Proceedings of the Machine Learning, 1994

Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Inductive Learning For Abductive Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning.

[BibT_eX]

[DOI]

Mach. Learn., 1993

Extending Theory Refinement to M-of-N Rules.

[BibT_eX]

Paul T. Baffes

Informatica (Slovenia), 1993

Combining FOIL and EBG to Speed-up Logic Programs.

[BibT_eX]

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Symbolic Revision of Theories with M-of-N Rules.

[BibT_eX]

Paul T. Baffes

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Learning Semantic Grammars with Constructive Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases.

[BibT_eX]

[DOI]

J. Jeffrey Mahoney

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation.

[BibT_eX]

Hwee Tou Ng

Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

Learning Relations by Pathfinding.

[BibT_eX]

[DOI]

Bradley L. Richards

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Symbolic and Neural Learning Algorithms: An Experimental Comparison.

[BibT_eX]

[DOI]

Jude W. Shavlik

Geoffrey G. Towell

Mach. Learn., 1991

First-Order Theory Revision.

[BibT_eX]

[DOI]

Bradley L. Richards

Proceedings of the Eighth International Workshop (ML91), 1991

Improving Shared Rules in Multiple Category Domain Theories.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop (ML91), 1991

Constructive Induction in Theory Refinement.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop (ML91), 1991

An Efficient First-Order Horn-Clause Abduction System Based on the ATMS.

[BibT_eX]

[DOI]

Hwee Tou Ng

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition.

[BibT_eX]

[DOI]

Cogn. Sci., 1990

Changing the Rules: A Comprehensive Approach to Theory Refinement.

[BibT_eX]

[DOI]

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

On the Role of Coherence in Abductive Explanation.

[BibT_eX]

[DOI]

Hwee Tou Ng

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

An Experimental Comparison of Symbolic and Connectionist Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

The Effect of Rule Use on the Utility of Explanation-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding

[BibT_eX]

[DOI]

PhD thesis, 1988

Generalizing the Order of Operators in Macro-Operators.

[BibT_eX]

Proceedings of the Machine Learning, 1988

1986

Explanation-Based Learning: An Alternative View.

[BibT_eX]

[DOI]

Gerald DeJong

Mach. Learn., 1986

A Domain Independent Explanation-Based Generalizer.

[BibT_eX]

[DOI]

Scott W. Bennett

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

Learning Schemata for Natural Language Processing.

[BibT_eX]

[DOI]