Tom M. Mitchell

According to our database1, Tom M. Mitchell authored at least 178 papers between 1977 and 2018.

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2018
Contextual Parameter Generation for Universal Neural Machine Translation.
CoRR, 2018

Never-ending learning.
Commun. ACM, 2018

APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions.
Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

Contextual Parameter Generation for Universal Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Learn Semantic Parsers from Natural Language Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

LIA: A Natural Language Programmable Personal Assistant.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Zero-shot Learning of Classifiers from Natural Language Quantification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach.
CoRR, 2017

An entity graph based Recommender System.
AI Commun., 2017

Merging knowledge bases in different languages.
Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parsing Natural Language Conversations using Contextual Cues.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Joint Sequential and Relational Model for Frame-Semantic Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Joint Concept Learning and Semantic Parsing from Natural Language Explanations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Probabilistic Generative Grammar for Semantic Parsing.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.
Statistical Analysis and Data Mining, 2016

Joint Extraction of Events and Entities within a Document Context.
CoRR, 2016

A Probabilistic Generative Grammar for Semantic Parsing.
CoRR, 2016

Machine Reading with Background Knowledge.
CoRR, 2016

CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking.
Proceedings of the 2016 Text Analysis Conference, 2016

An Entity Graph Based Recommender System.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

Joint Extraction of Events and Entities within a Document Context.
Proceedings of the NAACL HLT 2016, 2016

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua.
Proceedings of the NAACL HLT 2016, 2016

Estimating Accuracy from Unlabeled Data: A Bayesian Approach.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Inferring Interpersonal Relations in Narrative Summaries.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instructable Intelligent Personal Agent.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary.
TACL, 2015

Inferring Interpersonal Relations in Narrative Summaries.
CoRR, 2015

Weakly Supervised Extraction of Computer Security Events from Twitter.
Proceedings of the 24th International Conference on World Wide Web, 2015

CMUML System for KBP 2015 Cold Start Slot Filling.
Proceedings of the 2015 Text Analysis Conference, 2015

Principled Neuro-Functional Connectivity Discovery.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Compositional and Interpretable Semantic Space.
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

AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Translation Invariant Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Sense discovery via co-clustering on images and text.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Knowledge-Intensive Model for Prepositional Phrase Attachment.
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


2014
Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing.
NeuroImage, 2014

Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.
CoRR, 2014

Estimating Accuracy from Unlabeled Data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Assuming Facts Are Expressed More Than Once.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Aligning context-based statistical models of language with brain activity during reading.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Language-Aware Truth Assessment of Fact Candidates.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization
CoRR, 2013

CMUML System for KBP 2013 Slot Filling.
Proceedings of the Sixth Text Analysis Conference, 2013

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

PIDGIN: ontology alignment using web text as interlingua.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models.
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2012
Tracking neural coding of perceptual and semantic features of concrete nouns.
NeuroImage, 2012

Hierarchical Latent Dictionaries for Models of Brain Activation.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Coupled temporal scoping of relational facts.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Selecting Corpus-Semantic Models for Neurolinguistic Decoding.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Weakly Supervised Training of Semantic Parsers.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Never Ending Learning.
Proceedings of the ECAI 2012, 2012

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding.
Proceedings of the COLING 2012, 2012

Acquiring temporal constraints between relations.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Commonality of neural representations of words and pictures.
NeuroImage, 2011

Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation.
NeuroImage, 2011

Neural Representations of Word Meanings.
Proceedings of the INTERSPEECH 2011, 2011

Discovering Relations between Noun Categories.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Random Walk Inference and Learning in A Large Scale Knowledge Base.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Which Noun Phrases Denote Which Concepts?
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Coupled semi-supervised learning for information extraction.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Learning to Tag from Open Vocabulary Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Toward an Architecture for Never-Ending Language Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Machine learning classifiers and fMRI: A tutorial overview.
NeuroImage, 2009

Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models.
NeuroImage, 2009

A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors.
Journal of Computational Biology, 2009

Populating the Semantic Web by Macro-reading Internet Text.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Zero-shot Learning with Semantic Output Codes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Search war: a game for improving web search.
Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation.
Proceedings of the ACL 2009, 2009

Toward Mixed-Initiative Email Clustering.
Proceedings of the Agents that Learn from Human Teachers, 2009

Toward Never Ending Language Learning.
Proceedings of the Learning by Reading and Learning to Read, 2009

2008
A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors.
Proceedings of the Research in Computational Molecular Biology, 2008

Computational Models of Neural Representations in the Human Brain.
Proceedings of the Discovery Science, 11th International Conference, 2008

Computational Models of Neural Representations in the Human Brain.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007
Inferring pairwise regulatory relationships from multiple time series datasets.
Bioinformatics, 2007

In Honor of Marvin Minsky's Contributions on his 80th Birthday.
AI Magazine, 2007

Classification in Very High Dimensional Problems with Handfuls of Examples.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Learning, Information Extraction and the Web.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Continuous hidden process model for time series expression experiments.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Feature selection for grasp recognition from optical markers.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.
Proceedings of the IJCAI 2007, 2007

Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models.
Proceedings of the AMIA 2007, 2007

2006
Bayesian Network Learning with Parameter Constraints.
Journal of Machine Learning Research, 2006

Text clustering with extended user feedback.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Hidden process models.
Proceedings of the Machine Learning, 2006

Extracting Knowledge about Users' Activities from Raw Workstation Contents.
Proceedings of the Proceedings, 2006

2005
Predicting dire outcomes of patients with community acquired pneumonia.
Journal of Biomedical Informatics, 2005

The 2005 AAAI Classic Paper Awards.
AI Magazine, 2005

Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Machine Learning for Analyzing Human Brain Function.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Learning Topic-Based Mixture Models for Factored Classification.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Learning Topic-Based Mixture Models for Factored Classification.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Learning to Decode Cognitive States from Brain Images.
Machine Learning, 2004

Intelligent Workstation Agents and Unstructured Workstation Data.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Detecting Significant Multidimensional Spatial Clusters.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning to Classify Email into "Speech Acts".
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Inferring Ongoing Activities of Workstation Users by Clustering Email.
Proceedings of the CEAS 2004, 2004

2003
AI Matures and Flourishes in North America.
IEEE Intelligent Systems, 2003

In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel.
AI Magazine, 2003

Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Classifying Instantaneous Cognitive States from fMRI Data.
Proceedings of the AMIA 2003, 2003

Artificial Intelligence and Human Brain Imaging.
Proceedings of the Advances in Artificial Intelligence, 2003

2001
AAAI 2000 Workshop Reports.
AI Magazine, 2001

Author's response to reviews of Machine Learning.
Artif. Intell., 2001

Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Extracting targeted data from the web.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Text Classification from Labeled and Unlabeled Documents using EM.
Machine Learning, 2000

Learning to construct knowledge bases from the World Wide Web.
Artif. Intell., 2000

Discovering Test Set Regularities in Relational Domains.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Machine Learning and Data Mining.
Commun. ACM, 1999

Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field.
AI Magazine, 1999

1998
Improving Text Classification by Shrinkage in a Hierarchy of Classes.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Combining Labeled and Unlabeled Data with Co-Training.
Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

Learning to Classify Text from Labeled and Unlabeled Documents.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Learning to Extract Symbolic Knowledge from the World Wide Web.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
An evaluation of machine-learning methods for predicting pneumonia mortality.
Artificial Intelligence in Medicine, 1997

Does Machine Learning Really Work?
AI Magazine, 1997

Web Watcher: A Tour Guide for the World Wide Web.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Machine Learning Meets Natural Language.
Proceedings of the Progress in Artificial Intelligence, 1997

Machine learning, International Edition.
McGraw-Hill Series in Computer Science, McGraw-Hill, ISBN: 0071154671, 1997

Machine learning.
McGraw Hill series in computer science, McGraw-Hill, ISBN: 0-07-115467-1, 1997

1996
Challenge Problems for Artificial Intelligence (Panel Statements).
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Lifelong robot learning.
Robotics and Autonomous Systems, 1995

Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Learning One More Thing.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Machine Learning in the World Wide Web.
Proceedings of the Machine Learning: ECML-95, 1995

1994
Experience with a Learning Personal Assistant.
Commun. ACM, 1994

1993
An Apprentice-Based Approach to Knowledge Acquisition.
Artif. Intell., 1993

Integrating Inductive Neural Network Learning and Explanation-Based Learning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches.
Proceedings of the Machine Learning, 1993

Office Automation Systems that are "Programmed" by their Users.
Proceedings of the Informatik - Wirtschaft - Gesellschaft, 23. Gi-Jahrestagung, Dresden, Germany, 27. September, 1993

1992
Explanation-Based Neural Network Learning for Robot Control.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

A Personal Learning Apprentice.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Plan-Then-Compile Architectures.
SIGART Bulletin, 1991

Learning reliable manipulation strategies without initial physical models.
Robotics and Autonomous Systems, 1991

Personal Learning Apprentices.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Justification-Based Refinement of Expert Knowledge.
Knowledge Discovery in Databases, 1991

1990
Embedding Learning in a General Frame-Based Architecture.
IJPRAI, 1990

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

1989
Ambler: An Autonomous Rover for Planetary Exploration.
IEEE Computer, 1989

Embedding learning in a general frame-based architecture.
Proceedings of the IEEE International Workshop on Tools for Artificial Intelligence: Architectures, 1989

Experiments in Robot Learning.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

On Becoming Reactive.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1986
Explanation-Based Generalization: A Unifying View.
Machine Learning, 1986

1985
A Knowledge-Based Approach to Design.
IEEE Trans. Pattern Anal. Mach. Intell., 1985

Representation and Use of Explicit Justifications for Knowledge Base Refinements.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

LEAP: A Learning Apprentice for VLSI Design.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Learning in Knowledge-Base Management Systems.
On Knowledge Base Management Systems (Islamorada), 1985

Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases.
On Knowledge Base Management Systems (Islamorada), 1985

1984
A knowledge based approach to VLSI CAD the redesign system.
Proceedings of the 21st Design Automation Conference, 1984

1983
Machine Learning: A Historical and Methodological Analysis.
AI Magazine, 1983

Learning and Problem Solving.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

An Intelligent Aid for Circuit Redesign.
Proceedings of the National Conference on Artificial Intelligence, 1983

1982
Learning from Solution Paths: An Approach to the Credit Assignment Problem.
AI Magazine, 1982

Artificial Intelligence Research at Rutgers.
AI Magazine, 1982

Generalization as Search.
Artif. Intell., 1982

Acquisition of Appropriate Bias for Inductive Concept Learning.
Proceedings of the National Conference on Artificial Intelligence, 1982

1981
Learning Problem-Solving Heuristics Through Practice.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

Representations for Reasoning about Digital Circuits.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1979
An Analysis of Generalization as a Search Problem.
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1977
Model-directed learning of production rules.
SIGART Newsletter, 1977

A Model for Learning Systems.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

Version Spaces: A Candidate Elimination Approach to Rule Learning.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977


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