Conference Papers
Research 
Specific Topics
| Constrained Conditional Models | Learning Based Programming | Psycholinguistics | |||
| Machine Learning for NLP | Trustworthiness of Information | Machine Learning/Learning Theory | |||
| Natural Learning Semantics | Spelling, Text Correction & ESL | Knowledge Representation & Inference | |||
| ILP Formations for NLP | Un/Semi-Supervised Learning & Adaption | Machine Learning for Computer Vision |
Conferences
| AI | Machine Learning | NLP | Vision | Web |
Years
2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002
2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991
All Years
2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991
All Years
2012
- Sorting out the Most Confusing English Phrasal Verbs
Y. Tu and D. Roth
First Joint Conference on Lexical and Computational Semantics - 2012
2011
- Proceedings of the 25th AAAI Conference on Artificial Intelligence
W. Burgard and D. Roth Program Chairs - Learning from Negative Examples in Set-Expansion
P. Jindal and D. Roth
Proc. of the IEEE International Conference on Data Mining (ICDM) - 2011 - Inference Protocols for Coreference Resolution
K. Chang and R. Samdani and A. Rozovskaya and N. Rizzolo and M. Sammons and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) Shared Task - 2011 - A Joint Model for Extended Semantic Role Labeling
V. Srikumar and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2011 - Minimally Supervised Event Causality Identification
Q. Do and Y. Chan and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2011 - Adapting Text Instead of the Model : An Open Domain Approach
G. Kundu and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2011 - Selective Block Minimization for Faster Convergence of Limited Memory Large-scale Linear Models
K. Chang and D. Roth
Proc. of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) - 2011 - Content-driven Trust Propagation Framework
V. Vydiswaran and C. Zhai and D. Roth
Proc. of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) - 2011 - Making Better Informed Trust Decisions with Generalized Fact-Finding
J. Pasternack and D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2011 - Learning from Natural Instructions
D. Goldwasser and D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2011 - Online Latent Structure Training for Language Acquisition
M. Connor and C. Fisher and D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2011 - Generalized Fact-Finding
J. Pasternack and D. Roth
Proc. of the International World Wide Web Conference (WWW) - 2011 - Local and Global Algorithms for Disambiguation to Wikipedia
L. Ratinov and D. Roth and D. Downey and M. Anderson
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2011 - Exploiting Syntactico-Semantic Structures for Relation Extraction
Y. Chan and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2011 - Confidence Driven Unsupervised Semantic Parsing
D. Goldwasser and R. Reichart and J. Clarke and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2011 - Algorithm Selection and Model Adaptation for ESL Correction Tasks
A. Rozovskaya and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2011
2010
- Word representations: A simple and general method for semi-supervised learning.
J. Turian and L. Ratinov and Y. Bengio
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2010 - Comprehensive Trust Metrics for Information Networks
J. Pasternack and D. Roth
Proc. of the Army Science Conference (ASC) - 2010 - The Necessity of Combining Adaptation Methods
M. Chang and M. Connor and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2010 - Constraints based Taxonomic Relation Classification
Q. Do and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2010 - Automatic Model Adaptation for Complex Structured Domains
G. Levine and G. DeJong and L. Wang and R. Samdani and S. Vembu and D. Roth
Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) - 2010 - Generating Confusion Sets for Context-Sensitive Error Correction
A. Rozovskaya and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2010 - Knowing What to Believe (when you already know something)
J. Pasternack and D. Roth
Proc. of the International Conference on Computational Linguistics (COLING) - 2010 - Citation Author Topic Model in Expert Search
Y. Tu and N. Johri and D. Roth and J. Hockenmaier
Proc. of the International Conference on Computational Linguistics (COLING) - 2010 - Exploiting Background Knowledge for Relation Extraction
Y. Chan and D. Roth
Proc. of the International Conference on Computational Linguistics (COLING) - 2010 - Starting from Scratch in Semantic Role Labeling
M. Connor and Y. Gertner and C. Fisher and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2010 - Ask not what Textual Entailment can do for you...
M. Sammons and V. Vydiswaran and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2010 - Driving Semantic Parsing from the World's Response
J. Clarke and D. Goldwasser and M. Chang and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2010 - Structured Output Learning with Indirect Supervision
M. Chang and V. Srikumar and D. Goldwasser and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 2010 - Discriminative Learning over Constrained Latent Representations
M. Chang and D. Goldwasser and D. Roth and V. Srikumar
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2010 - Training Paradigms for Correcting Errors in Grammar and Usage
A. Rozovskaya and D. Roth
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2010 - Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
I. Titov and A. Klementiev and K. Small and D. Roth
Proc. of the International Workshop on Artificial Intelligence and Statistics (AISTATS) - 2010 - Learning Based Java for Rapid Development of NLP Systems
N. Rizzolo and D. Roth
Proc. of the International Conference on Language Resources and Evaluation (LREC) - 2010
2009
- Aspect Guided Text Categorization with Unobserved Labels
D. Roth and Y. Tu
Proc. of the IEEE International Conference on Data Mining (ICDM) - 2009 - Learning Better Transliterations
J. Pasternack and D. Roth
Proc. of the ACM Conference on Information and Knowledge Management (CIKM) - 2009 - A Framework for Entailed Relation Recognition
D. Roth and M. Sammons and V. Vydiswaran
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2009 - Reading to Learn: Constructing Features from Semantic Abstracts
J. Eisenstein and J. Clarke and D. Goldwasser and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2009 - Unsupervised Rank Aggregation with Domain-Specific Expertise
A. Klementiev and D. Roth and K. Small and I. Titov
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2009 - Minimally Supervised Model of Early Language Acquisition
M. Connor and Y. Gertner and C. Fisher and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2009 - Interactive Feature Space Construction using Semantic Information
D. Roth and K. Small
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2009 - Design Challenges and Misconceptions in Named Entity Recognition
L. Ratinov and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2009 - Unsupervised Constraint Driven Learning For Transliteration Discovery
M. Chang and D. Goldwasser and D. Roth and Y. Tu
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2009 - Extracting Article Text from the Web with Maximum Subsequence Segmentation
J. Pasternack and D. Roth
Proc. of the International World Wide Web Conference (WWW) - 2009 - Sequential Learning of Classifiers for Structured Prediction Problems
D. Roth and K. Small and I. Titov
Proc. of the International Workshop on Artificial Intelligence and Statistics (AISTATS) - 2009 - Revisiting Optimal Decoding for Machine Translation IBM Model~4
S. Riedel and J. Clarke
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Short Papers - 2009 - Constraint Driven Transliteration Discovery
D. Goldwasser and M. Chang and Y. Tu and D. Roth
Recent Advances in Natural Language Processing - 2009 - Relation Alignment for Textual Entailment Recognition
M. Sammons and V. Vydiswaran and T. Vieira and N. Johri and M. Chang and D. Goldwasser and V. Srikumar and G. Kundu and Y. Tu and K. Small and J. Rule and Q. Do and D. Roth
Proc. of the Text Analysis Conference (TAC) - 2009 - Who's Who in Your Digital Collection: Developing a Tool for Name Disambiguation and Identity Resolution
C. Godby and P. Hswe and L. Jackson and J. Klavans and L. Ratinov and D. Roth and H. Cho
Proc. of the Chicago Colloquium on Digital Humanities and Computer Science (DHCS) - 2009
2008
- Transliteration as Constrained Optimization
D. Goldwasser and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2008 - Understanding the Value of Features for Coreference Resolution
E. Bengtson and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2008 - Baby SRL: Modeling Early Language Acquisition
M. Connor and Y. Gertner and C. Fisher and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2008 - Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution
V. Srikumar and R. Reichart and M. Sammons and A. Rappoport and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2008 - Active Sample Selection for Named Entity Transliteration
D. Goldwasser and D. Roth
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Short Papers - 2008 - Proactive Intrusion Detection
B. Liebald and D. Roth and N. Shah and V. Srikumar
Proc. of the Conference on Artificial Intelligence (AAAI) - 2008 - Importance of Semantic Represenation: Dataless Classification
M. Chang and L. Ratinov and D. Roth and V. Srikumar
Proc. of the Conference on Artificial Intelligence (AAAI) - 2008 - Active Learning for Pipeline Models
D. Roth and K. Small
Proc. of the Conference on Artificial Intelligence (AAAI) - 2008 - Learning and Inference with Constraints
M. Chang and L. Ratinov and N. Rizzolo and D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 2008 - Unsupervised Rank Aggregation with Distance-Based Models
A. Klementiev and D. Roth and K. Small
Proc. of the International Conference on Machine Learning (ICML) - 2008 - Which Apple are you talking about
M. Rahurkar and D. Roth and T. Huang
Proc. of the International World Wide Web Conference (WWW) - 2008
2007
- Guiding Semi-Supervision with Constraint-Driven Learning
M. Chang and L. Ratinov and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2007 - Modeling Discriminative Global Inference
N. Rizzolo and D. Roth
Proc. of the IEEE International Conference on Semantic Computing (ICSC) - 2007 - Context Sensitive Paraphrasing with a Single Unsupervised Classifier
M. Connor and D. Roth
Proc. of the European Conference on Machine Learning (ECML) - 2007 - An Unsupervised Learning Algorithm for Rank Aggregation
A. Klementiev and D. Roth and K. Small
Proc. of the European Conference on Machine Learning (ECML) - 2007 - Maximum Margin Coresets for Active and Noise Tolerant Learning
S. Har-Peled and D. Roth and D. Zimak
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2007
2006
- Multilingual Dependency Parsing: A Pipeline Approach
M. Chang and Q. Do and D. Roth
Proc. of the Conference on Recent Advances in Natural Language Processing (RANLP) - 2006 - Margin-based Active Learning for Structured Output Spaces
D. Roth and K. Small
Proc. of the European Conference on Machine Learning (ECML) - 2006 - Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
A. Klementiev and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2006 - Local Search for Bottom-Up Dependency Parsing
M. Chang and Q. Do and D. Roth
Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) - 2006 - A Pipeline Model for Bottom-Up Dependency Parsing Shared Task Paper
M. Chang and Q. Do and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2006 - Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
A. Klementiev and D. Roth
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2006
2005
- Integer Linear Programming Inference for Conditional Random Fields
D. Roth and W. Yih
Proc. of the International Conference on Machine Learning (ICML) - 2005 - The Necessity of Syntactic Parsing for Semantic Role Labeling
V. Punyakanok and D. Roth and W. Yih
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2005 - Learning and Inference over Constrained Output
V. Punyakanok and D. Roth and W. Yih and D. Zimak
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2005 - Lifted First-order Probabilistic Inference
R. de Salvo Braz and E. Amir and D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2005 - An Inference Model for Semantic Entailment in Natural Language
R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
Proc. of the Conference on Artificial Intelligence (AAAI) - 2005 - An Inference Model for Semantic Entailment in Natural Language
R. de Salvo Braz and R. Girju and V. Punyakanok and D. Roth and M. Sammons
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2005 - Emotions from text: machine learning for text-based emotion prediction.
C. Alm and D. Roth and R. Sproat
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2005 - Learnability of Bipartite Ranking Functions
S. Agarwal and D. Roth
Proc. of the ACM Conference on Computational Learning Theory (COLT) - 2005 - A Uniform Convergence Bound for the Area Under the ROC Curve
S. Agarwal and S. Har-Peled and D. Roth
Proc. of the International Workshop on Artificial Intelligence and Statistics (AISTATS) - 2005 - A Large Deviation Bound for the Area Under the ROC Curve
S. Agarwal and T. Graepel and R. Herbrich and D. Roth
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 2005 - Constraint-Based Entity Matching
W. Shen and X. Li and A. Doan
Proc. of the Conference on Artificial Intelligence (AAAI) - 2005 - Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification
X. Li and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2005 - Generalized Inference with Multiple Semantic Role Labeling Systems Shared Task Paper
P. Koomen and V. Punyakanok and D. Roth and W. Yih
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2005 - Learning Automation Policies for Pervasive Computing Environments
B. Ziebart and A. Dey and R. Campbell and D. Roth
Proc. of the International Conference on Autonomic Computing (ICAC) - 2005
2004
- Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches
X. Li and P. Morie and D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 2004 - Robust Reading: Identification and Tracing of Ambiguous Names
X. Li and P. Morie and D. Roth
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2004 - Learning Hebrew Roots: Machine Learning with Linguistic Constraints
E. Daya and D. Roth and S. Wintner
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2004 - A Linear Programming Formulation for Global Inference in Natural Language Tasks
D. Roth and W. Yih
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2004 - Semantic Role Labeling via Integer Linear Programming Inference
V. Punyakanok and D. Roth and W. Yih and D. Zimak
Proc. of the International Conference on Computational Linguistics (COLING) - 2004 - Semantic Role Labeling via Generalized Inference over Classifiers Shared Task Paper
V. Punyakanok and D. Roth and W. Yih and D. Zimak and Y. Tu
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2004 - Bimodal HCI-related Affect Recognition
Z. Zeng and J. Tu and M. Liu and T. Zhang and N. Rizzolo and Z. Zhang and T. Huang and D. Roth and S. Levinson
Proc. of the International Conference on Multimodal Interfaces (ICMI) - 2004 - The Role of Semantic Information in Learning Question Classifiers
X. Li and D. Roth and K. Small
Proc. of the International Joint Conference on Natural Language Processing (IJCNLP) - 2004 - Mining Online Deal Forums for Hot Deals
W. Yih and P. Chang and W. Kim
Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence (WI) - 2004
2003
- Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics
E. Hinrichs and D. Roth Program Chairs - Constraint Classification for Multiclass Classification and Ranking
S. Har-Peled and D. Roth and D. Zimak
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 2003 - On Kernel Methods for Relational Learning
C. Cumby and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 2003 - Margin Distribution and Learning Algorithms
A. Garg and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 2003 - Phrasenet: towards context sensitive lexical semantics
X. Li and D. Roth and Y. Tu
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2003 - Functional subsumption in Description Logics
R. de Salvo Braz and D. Roth
Proc. of the Conference on Neural Information Processing Systems (NIPS) Workshop on Feature Extraction and Selection - 2003
2002
- Proceedings of CoNLL 2002, the Sixth Workshop on Computational Natural Language Learning
D. Roth and A. van den Bosch Program Chairs - On generalization bounds, projection profile, and margin distribution
A. Garg and S. Har-Peled and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 2002 - Learning with Feature Description Logics
C. Cumby and D. Roth
Proc. of the International Conference on Inductive Logic Programming (ILP) - 2002 - Probabilistic Reasoning for Entity and Relation Recognition
D. Roth and W. Yih
Proc. of the International Conference on Computational Linguistics (COLING) - 2002 - Learning Question Classifiers
X. Li and D. Roth
Proc. of the International Conference on Computational Linguistics (COLING) - 2002 - Learning and Inference for Clause Identification
X. Carreras and L. Marquez and V. Punyakanok and D. Roth
Proc. of the European Conference on Machine Learning (ECML) - 2002 - Constraint Classification: a new approach to Multiclass Classification
S. Har-Peled and D. Roth and D. Zimak
Proc. of the International Workshop on Algorithmic Learning Theory (ALT) - 2002 - Learning a Sparse Representation for Object Detection
S. Agarwal and D. Roth
Proc. of the European Conference on Computer Vision (ECCV) - 2002 - A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
M. Yang and D. Roth and N. Ahuja
Proc. of the European Conference on Computer Vision (ECCV) - 2002 - Question-Answering via Enhanced Understanding of Questions
D. Roth and C. Cumby and X. Li and P. Morie and R. Nagarajan and V. Punyakanok and N. Rizzolo and K. Small and W. Yih
Proc. of the Text Retrieval Conference (TREC) - 2002
2001
- Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
R. Khardon and D. Roth and R. Servedio
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 2001 - The Use of Classifiers in Sequential Inference
V. Punyakanok and D. Roth
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 2001 - Relational Learning via Propositional Algorithms: An Information Extraction Case Study
D. Roth and W. Yih
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 2001 - Reasoning with Classifiers
D. Roth
Proc. of the European Conference on Machine Learning (ECML) - 2001 - Understanding Probabilistic Classifiers
A. Garg and D. Roth
Proc. of the European Conference on Machine Learning (ECML) - 2001 - Learning Coherent Concepts
A. Garg and D. Roth
Proc. of the International Workshop on Algorithmic Learning Theory (ALT) - 2001 - Exploring Evidence for Shallow Parsing
X. Li and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2001 - A Sequential Model for Multi Class Classification
Y. Even-Zohar and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2001 - Gene Recognition based on DAG shortest paths
J. Chuang and D. Roth
Proc. of the International Conference on Intelligent Systems for Molecular Biology (ISMB) - 2001 - Scaling Up Context Sensitive Text Correction
A. Carlson and J. Rosen and D. Roth
Proc. of the Conference on Innovative Applications of Artificial Intelligence (IAAI) - 2001 - Learning Components for a Question Answering System
D. Roth and G. Kao and X. Li and R. Nagarajan and V. Punyakanok and N. Rizzolo and W. Yih and C. Alm and L. G. Moran
Proc. of the Text Retrieval Conference (TREC) - 2001 - Face Detection Using Large Margin Classifiers
M. Yang and D. Roth and N. Ahuja
Proc. of the IEEE International Conference on Image Processing (ICIP) - 2001
2000
- Towards a theory of Coherent Concepts
D. Roth and D. Zelenko
Proc. of the Conference on Artificial Intelligence (AAAI) - 2000 - Applying System Combination to Base Noun Phrase Identification
E. F. T. Kim-Sang and W. Daelemans and H. Dejean and R. Koeling and Y. Krymolowski and V. Punyakanok and D. Roth
Proc. of the International Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics (COLING-ACL) - 2000 - A classification approach to word prediction
Y. Even-Zohar and D. Roth
Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - 2000 - Relational Representations that facilitate learning
C. Cumby and D. Roth
Proc. of the International Conference on Principles of Knowledge Representation and Reasoning (KR) - 2000 - Learning in Natural Language: Theory and Algorithmic Approaches
D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2000 - A SNoW-based Face Detector
M. Yang and D. Roth and N. Ahuja
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 2000 - Learning To Recognize 3D Objects With SNoW
M. Yang and D. Roth and N. Ahuja
Proc. of the European Conference on Computer Vision (ECCV) - 2000 - View-Based 3D Object Recognition Using SNoW
M. Yang and D. Roth and N. Ahuja
Proc. of the Asian Conference on Computer Vision (ACCV) - 2000 - Learning to Recognize Objects
D. Roth and M. Yang and N. Ahuja
Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - 2000 - Shallow Parsing by Inferencing with Classifiers
V. Punyakanok and D. Roth
Proc. of the Conference on Computational Natural Language Learning (CoNLL) - 2000
1999
- Learning in Natural Language
D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 1999 - A Learning Approach to Shallow Parsing
M. Munoz and V. Punyakanok and D. Roth and D. Zimak
Proc. of the Joint Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP-VLC) - 1999 - Relational Learning for NLP using Linear Threshold Elements
R. Khardon and D. Roth and L. G. Valiant
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 1999 - Word Clustering via Classification
Y. Even-Zohar and D. Roth and D. Zelenko
Proc. of the Bar-Ilan Symposium on Foundations of Artificial Intelligence (BISFAI) - 1999
1998
- Part of Speech Tagging Using a Network of Linear Separators
D. Roth and D. Zelenko
Coling-Acl, The 17th International Conference on Computational Linguistics - 1998 - Learning to Resolve Natural Language Ambiguities: A Unified Approach
D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 1998 - Linear concepts and hidden variables: An empirical study
A. Grove and D. Roth
Proc. of the Conference on Neural Information Processing Systems (NIPS) - 1998 - Clustering Appearances of 3D Objects
R. Basari and D. Roth and D. Jacobs
Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - 1998
1997
- Mistake-Driven Learning in Text Categorization
I. Dagan and Y. Karov and D. Roth
Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 1997
1996
- Learning Active Classifiers
R. Greiner and A. Grove and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 1996 - Applying Winnow to Context-Sensitive Spelling Correction
A. R. Golding and D. Roth
Proc. of the International Conference on Machine Learning (ICML) - 1996 - Learning in Order to Reason Invited
D. Roth
Proc. of the AAAI Fall Symposium on Learning Complex Behaviors in Adaptive Intelligent Systems - 1996 - On the hardness of approximate reasoning
D. Roth
Proc. of the AAAI Fall Symposium on AI and NP Hard Problems - 1996 - A Connectionist Framework for Reasoning: Reasoning with Examples
D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 1996
1995
- Learning to Reason: The Non-Monotonic Case
D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 1995 - Learning to Reason with a Restricted View
R. Khardon and D. Roth
Proc. of the ACM Conference on Computational Learning Theory (COLT) - 1995 - Default-Reasoning with Models
R. Khardon and D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 1995
1994
- A note on Horn Theories
R. Khardon and D. Roth - Exploiting Relevance through Model-based reasoning
R. Khardon and D. Roth
Proc. of the AAAI Fall Symposium on Relevance - 1994 - Learning to Reason
R. Khardon and D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 1994 - Reasoning with Models
R. Khardon and D. Roth
Proc. of the Conference on Artificial Intelligence (AAAI) - 1994 - On learning read-k satisfy-j DNF
A. Blum and R. Khardon and A. Kushilevitz and L. Pitt and D. Roth
Proc. of the ACM Conference on Computational Learning Theory (COLT) - 1994
1993
- On the hardness of approximate reasoning
D. Roth
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) - 1993 - On Learning Visual Concepts and DNF Formulae
A. Kushilevitz and D. Roth
Proc. of the ACM Conference on Computational Learning Theory (COLT) - 1993 - Finding the Maximum Area Axis-Parallel Rectangle in a Simple Polygon
K. Daniels and V. J. Milenkovic and D. Roth
Proc. of the Canadian Conference on Computational Geometry (CCCG) - 1993
1992
- Efficient, Strongly Consistent Implementation of Shared Memory
M. Mavronicolas and D. Roth
Proc. of the Workshop on Distributed Algorithms (WDAG) - 1992
1991
- Sequential Consistency and Linearizability: Read/Write Objects
M. Mavronicolas and D. Roth
Proc. of the Allerton Conference on Communications, Control and Computing - 1991
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