Dan Roth

According to our database1, Dan Roth
  • authored at least 306 papers between 1992 and 2017.
  • has a "Dijkstra number"2 of four.

Awards

ACM Fellow

ACM Fellow 2011, "For contributions to machine learning and natural language processing.".

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Homepage:

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Bibliography

2017
Machine Learning with World Knowledge: The Position and Survey.
CoRR, 2017

Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.
CoRR, 2017

A Structured Learning Approach to Temporal Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cheap Translation for Cross-Lingual Named Entity Recognition.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Entity Linking via Joint Encoding of Types, Descriptions, and Context.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Story Comprehension for Predicting What Happens Next.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Joint Model for Semantic Sequences: Frames, Entities, Sentiments.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Learning What is Essential in Questions.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Incidental Supervision: Moving beyond Supervised Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
World Knowledge as Indirect Supervision for Document Clustering.
TKDD, 2016

Concept Grounding to Multiple Knowledge Bases via Indirect Supervision.
TACL, 2016

litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks.
JASIST, 2016

World Knowledge as Indirect Supervision for Document Clustering.
CoRR, 2016

Cross-lingual Models of Word Embeddings: An Empirical Comparison.
CoRR, 2016

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence.
CoRR, 2016

Equation Parsing: Mapping Sentences to Grounded Equations.
CoRR, 2016

Unit Dependency Graph and its Application to Arithmetic Word Problem Solving.
CoRR, 2016

Solving General Arithmetic Word Problems.
CoRR, 2016

Two Discourse Driven Language Models for Semantics.
CoRR, 2016

Transliteration in Any Language with Surrogate Languages.
CoRR, 2016

Question Answering via Integer Programming over Semi-Structured Knowledge.
CoRR, 2016

Reports of the 2016 AAAI Workshop Program.
AI Magazine, 2016

Entity Disambiguation with Linkless Knowledge Bases.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning invariants using decision trees and implication counterexamples.
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016

Cross-lingual Wikification Using Multilingual Embeddings.
Proceedings of the NAACL HLT 2016, 2016

Illinois Math Solver: Math Reasoning on the Web.
Proceedings of the Demonstrations Session, 2016

EDISON: Feature Extraction for NLP, Simplified.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Cross-Lingual Dataless Classification for Many Languages.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Question Answering via Integer Programming over Semi-Structured Knowledge.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Will I Get in? Modeling the Graduate Admission Process for American Universities.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Equation Parsing : Mapping Sentences to Grounded Equations.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Event Detection and Co-reference with Minimal Supervision.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Cross-Lingual Named Entity Recognition via Wikification.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Revisiting the Evaluation for Cross Document Event Coreference.
Proceedings of the COLING 2016, 2016

Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia.
Proceedings of the COLING 2016, 2016

Better call Saul: Flexible Programming for Learning and Inference in NLP.
Proceedings of the COLING 2016, 2016

Cross-lingual Models of Word Embeddings: An Empirical Comparison.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Grammatical Error Correction: Machine Translation and Classifiers.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Two Discourse Driven Language Models for Semantics.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Word Embeddings with Limited Memory.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Labeling the Semantic Roles of Commas.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Reasoning about Quantities in Natural Language.
TACL, 2015

Overcoming bias to learn about controversial topics.
JASIST, 2015

Distributed Training of Structured SVM.
CoRR, 2015

IllinoisSL: A JAVA Library for Structured Prediction.
CoRR, 2015

Structured learning for spatial information extraction from biomedical text: bacteria biotopes.
BMC Bioinformatics, 2015

Visualization of Trustworthiness Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Unsupervised Sparse Vector Densification for Short Text Similarity.
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

Solving Hard Coreference Problems.
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

Debiasing Crowdsourced Batches.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Saul: Towards Declarative Learning Based Programming.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Solving General Arithmetic Word Problems.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Mention Extraction and Classification with Mention Hypergraphs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Improving a Pipeline Architecture for Shallow Discourse Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015

A Joint Framework for Coreference Resolution and Mention Head Detection.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Structural Learning with Amortized Inference.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Building a State-of-the-Art Grammatical Error Correction System.
TACL, 2014

Learning from natural instructions.
Machine Learning, 2014

Introduction to the special issue on learning semantics.
Machine Learning, 2014

Provenance-Assisted Classification in Social Networks.
J. Sel. Topics Signal Processing, 2014

A text mining framework for advancing sustainability indicators.
Environmental Modelling and Software, 2014

ILLINOISCLOUDNLP: Text Analytics Services in the Cloud.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

A Discriminative Latent Variable Model for Online Clustering.
Proceedings of the 31th International Conference on Machine Learning, 2014

Correcting Grammatical Verb Errors.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

The Illinois-Columbia System in the CoNLL-2014 Shared Task.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

Joint inference for end-to-end coreference resolution for clinical notes.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Detecting privacy-sensitive events in medical text.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Wikification and Beyond: The Challenges of Entity and Concept Grounding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

On Dataless Hierarchical Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Recognizing Textual Entailment: Models and Applications
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 9781598298352, 2013

Modeling Semantic Relations Expressed by Prepositions.
TACL, 2013

Extraction of events and temporal expressions from clinical narratives.
Journal of Biomedical Informatics, 2013

Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.
JAMIA, 2013

An Inventory of Preposition Relations
CoRR, 2013

Latent credibility analysis.
Proceedings of the 22nd International World Wide Web Conference, 2013

RPI-BLENDER TAC-KBP2013 Knowledge Base Population System.
Proceedings of the Sixth Text Analysis Conference, 2013

Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
Proceedings of the Sixth Text Analysis Conference, 2013

Multi-core Structural SVM Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Understanding evolution of research themes: a probabilistic generative model for citations.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining evidences for named entity disambiguation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

End-to-End Coreference Resolution for Clinical Narratives.
Proceedings of the IJCAI 2013, 2013

Joint Learning and Inference for Grammatical Error Correction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Using Soft Constraints in Joint Inference for Clinical Concept Recognition.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Relational Inference for Wikification.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Constrained Latent Variable Model for Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

The University of Illinois System in the CoNLL-2013 Shared Task.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

Concept-based analysis of scientific literature.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Computational frameworks for semantic analysis and wikification: keynote abstract.
Proceedings of the ESAIR'13, 2013

Margin-based Decomposed Amortized Inference.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Leveraging Domain-Independent Information in Semantic Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Exploiting the Wikipedia structure in local and global classification of taxonomic relations.
Natural Language Engineering, 2012

Structured learning with constrained conditional models.
Machine Learning, 2012

Efficient Decomposed Learning for Structured Prediction
CoRR, 2012

Sorting out the Most Confusing English Phrasal Verbs.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

A Robust Shallow Temporal Reasoning System.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Unified Expectation Maximization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines).
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Efficient Decomposed Learning for Structured Prediction.
Proceedings of the 29th International Conference on Machine Learning, 2012

Efficient Pattern-Based Time Series Classification on GPU.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

On Amortizing Inference Cost for Structured Prediction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Learning-based Multi-Sieve Co-reference Resolution with Knowledge.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

A Discriminative Model for Query Spelling Correction with Latent Structural SVM.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Joint Inference for Event Timeline Construction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Illinois-Coref: The UI System in the CoNLL-2012 Shared Task.
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Using Knowledge and Constraints To Find the Best Antecedent.
Proceedings of the COLING 2012, 2012

New Frontiers in Computational Models of Grammatical Development.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

BiasTrust: teaching biased users about controversial topics.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Unsupervised discovery of opposing opinion networks from forum discussions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

The UI System in the HOO 2012 Shared Task on Error Correction.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

Automatic Event Extraction with Structured Preference Modeling.
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
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks.
IEEE Trans. Knowl. Data Eng., 2011

Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks.
J. Autom. Reasoning, 2011

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
CoRR, 2011

Generalized fact-finding.
Proceedings of the 20th International Conference on World Wide Web, 2011

GLOW TAC-KBP2011 Entity Linking System.
Proceedings of the Fourth Text Analysis Conference, 2011

CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description.
Proceedings of the Fourth Text Analysis Conference, 2011

Structured prediction with indirect supervision.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Content-driven trust propagation framework.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Selective block minimization for faster convergence of limited memory large-scale linear models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Apollo: Towards factfinding in participatory sensing.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Making Better Informed Trust Decisions with Generalized Fact-Finding.
Proceedings of the IJCAI 2011, 2011

Learning from Natural Instructions.
Proceedings of the IJCAI 2011, 2011

Online Latent Structure Training for Language Acquisition.
Proceedings of the IJCAI 2011, 2011

Learning from Negative Examples in Set-Expansion.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

Constrained conditional models for information fusion.
Proceedings of the 14th International Conference on Information Fusion, 2011

University of Illinois System in HOO Text Correction Shared Task.
Proceedings of the ENLG 2011, 2011

A Joint Model for Extended Semantic Role Labeling.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Minimally Supervised Event Causality Identification.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Adapting Text instead of the Model: An Open Domain Approach.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

Inference Protocols for Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Algorithm Selection and Model Adaptation for ESL Correction Tasks.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Local and Global Algorithms for Disambiguation to Wikipedia.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Confidence Driven Unsupervised Semantic Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Exploiting Syntactico-Semantic Structures for Relation Extraction.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Making Sense of Unstructured Textual Data.
Proceedings of the Web Intelligence and Security, 2010

Recognizing textual entailment: Rational, evaluation and approaches - Erratum.
Natural Language Engineering, 2010

Margin-based active learning for structured predictions.
Int. J. Machine Learning & Cybernetics, 2010

Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Automatic Model Adaptation for Complex Structured Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Training Paradigms for Correcting Errors in Grammar and Usage.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Discriminative Learning over Constrained Latent Representations.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Learning Based Java for Rapid Development of NLP Systems.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Structured Output Learning with Indirect Supervision.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Generating Confusion Sets for Context-Sensitive Error Correction.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Constraints Based Taxonomic Relation Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

The Necessity of Combining Adaptation Methods.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Driving Semantic Parsing from the World's Response.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Citation Author Topic Model in Expert Search.
Proceedings of the COLING 2010, 2010

Knowing What to Believe (when you already know something).
Proceedings of the COLING 2010, 2010

Exploiting Background Knowledge for Relation Extraction.
Proceedings of the COLING 2010, 2010

"Ask Not What Textual Entailment Can Do for You...".
Proceedings of the ACL 2010, 2010

Starting from Scratch in Semantic Role Labeling.
Proceedings of the ACL 2010, 2010

2009
Learning multi-linear representations of distributions for efficient inference.
Machine Learning, 2009

Sequential Learning of Classifiers for Structured Prediction Problems.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Extracting article text from the web with maximum subsequence segmentation.
Proceedings of the 18th International Conference on World Wide Web, 2009

Relation Alignment for Textual Entailment Recognition.
Proceedings of the Second Text Analysis Conference, 2009

Learning Multi-linear Representations of Distributions for Efficient Inference.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Unsupervised Constraint Driven Learning For Transliteration Discovery.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Unsupervised Rank Aggregation with Domain-Specific Expertise.
Proceedings of the IJCAI 2009, 2009

Aspect Guided Text Categorization with Unobserved Labels.
Proceedings of the ICDM 2009, 2009

Reading to Learn: Constructing Features from Semantic Abstracts.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Interactive Feature Space Construction using Semantic Information.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

Design Challenges and Misconceptions in Named Entity Recognition.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

Minimally Supervised Model of Early Language Acquisition.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

Learning better transliterations.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

A Framework for Entailed Relation Recognition.
Proceedings of the ACL 2009, 2009

2008
A Survey of First-Order Probabilistic Models.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

The Importance of Syntactic Parsing and Inference in Semantic Role Labeling.
Computational Linguistics, 2008

Identifying Semitic Roots: Machine Learning with Linguistic Constraints.
Computational Linguistics, 2008

Which "Apple" are you talking about ?
Proceedings of the 17th International Conference on World Wide Web, 2008

Unsupervised rank aggregation with distance-based models.
Proceedings of the Machine Learning, 2008

Transliteration as Constrained Optimization.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Understanding the Value of Features for Coreference Resolution.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Baby SRL: Modeling Early Language Acquisition.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution.
Proceedings of the ACL 2008, 2008

Active Sample Selection for Named Entity Transliteration.
Proceedings of the ACL 2008, 2008

Active Learning for Pipeline Models.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Proactive Intrusion Detection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Importance of Semantic Representation: Dataless Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Learning and Inference with Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Audio-Visual Affect Recognition.
IEEE Trans. Multimedia, 2007

Modeling Discriminative Global Inference.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Maximum Margin Coresets for Active and Noise Tolerant Learning.
Proceedings of the IJCAI 2007, 2007

An Unsupervised Learning Algorithm for Rank Aggregation.
Proceedings of the Machine Learning: ECML 2007, 2007

Context Sensitive Paraphrasing with a Global Unsupervised Classifier.
Proceedings of the Machine Learning: ECML 2007, 2007

Guiding Semi-Supervision with Constraint-Driven Learning.
Proceedings of the ACL 2007, 2007

2006
Learning question classifiers: the role of semantic information.
Natural Language Engineering, 2006

Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.
Artif. Intell., 2006

Named Entity Transliteration and Discovery from Multilingual Comparable Corpora.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Margin-Based Active Learning for Structured Output Spaces.
Proceedings of the Machine Learning: ECML 2006, 2006

A Pipeline Model for Bottom-Up Dependency Parsing.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora.
Proceedings of the ACL 2006, 2006

A Pipeline Framework for Dependency Parsing.
Proceedings of the ACL 2006, 2006

MPE and Partial Inversion in Lifted Probabilistic Variable Elimination.
Proceedings of the Proceedings, 2006

2005
Guest Editors Introduction: Machine Learning in Speech and Language Technologies.
Machine Learning, 2005

Generalization Bounds for the Area Under the ROC Curve.
Journal of Machine Learning Research, 2005

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
J. Artif. Intell. Res., 2005

Semantic Integration in Text: From Ambiguous Names to Identifiable Entities.
AI Magazine, 2005

Demonstrating an Interactive Semantic Role Labeling System.
Proceedings of the HLT/EMNLP 2005, 2005

Emotions from Text: Machine Learning for Text-based Emotion Prediction.
Proceedings of the HLT/EMNLP 2005, 2005

An Inference Model for Semantic Entailment in Natural Language.
Proceedings of the Machine Learning Challenges, 2005

Learning and Inference over Constrained Output.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

The Necessity of Syntactic Parsing for Semantic Role Labeling.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

An Inference Model for Semantic Entailment in Natural Language.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Lifted First-Order Probabilistic Inference.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Integer linear programming inference for conditional random fields.
Proceedings of the Machine Learning, 2005

Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Generalized Inference with Multiple Semantic Role Labeling Systems.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Learnability of Bipartite Ranking Functions.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

A Uniform Convergence Bound for the Area Under the ROC Curve.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

An Inference Model for Semantic Entailment in Natural Language.
Proceedings of the Proceedings, 2005

2004
Learning to Detect Objects in Images via a Sparse, Part-Based Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Large Deviation Bound for the Area Under the ROC Curve.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Robust Reading: Identification and Tracing of Ambiguous Names.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

Bimodal HCI-related affect recognition.
Proceedings of the 6th International Conference on Multimodal Interfaces, 2004

Learning Hebrew Roots: Machine Learning with Linguistic Constraints.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

A Linear Programming Formulation for Global Inference in Natural Language Tasks.
Proceedings of the Eighth Conference on Computational Natural Language Learning, 2004

Semantic Role Labeling Via Generalized Inference Over Classifiers.
Proceedings of the Eighth Conference on Computational Natural Language Learning, 2004

Semantic Role Labeling Via Integer Linear Programming Inference.
Proceedings of the COLING 2004, 2004

Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Margin Distribution and Learning.
Proceedings of the Machine Learning, 2003

On Kernel Methods for Relational Learning.
Proceedings of the Machine Learning, 2003

Phrasenet: towards context sensitive lexical semantics.
Proceedings of the Seventh Conference on Natural Language Learning, 2003

2002
Learning to Recognize Three-Dimensional Objects.
Neural Computation, 2002

Learning cost-sensitive active classifiers.
Artif. Intell., 2002

Question-Answering via Enhanced Understanding of Questions.
Proceedings of The Eleventh Text REtrieval Conference, 2002

Reasoning with Classifiers.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Constraint Classification for Multiclass Classification and Ranking.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning with Feature Description Logics.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

On generalization bounds, projection profile, and margin distribution.
Proceedings of the Machine Learning, 2002

Reasoning with Classifiers.
Proceedings of the Machine Learning: ECML 2002, 2002

Learning and Inference for Clause Identification.
Proceedings of the Machine Learning: ECML 2002, 2002

A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition.
Proceedings of the Computer Vision, 2002

Learning a Sparse Representation for Object Detection.
Proceedings of the Computer Vision, 2002

Probabilistic Reasoning for Entity & Relation Recognition.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

Learning Question Classifiers.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

Constraint Classification: A New Approach to Multiclass Classification.
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001
Linear Concepts and Hidden Variables.
Machine Learning, 2001

The Use of Classifiers in Sequential Inference
CoRR, 2001

A Sequential Model for Multi-Class Classification
CoRR, 2001

Learning Components for A Question-Answering System.
Proceedings of The Tenth Text REtrieval Conference, 2001

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Gene recognition based on DAG shortest paths.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Relational Learning via Propositional Algorithms: An Information Extraction Case Study.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Face detection using large margin classifiers.
Proceedings of the 2001 International Conference on Image Processing, 2001

Scaling Up Context-Sensitive Text Correction.
Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, 2001

Understanding Probabilistic Classifiers.
Proceedings of the Machine Learning: EMCL 2001, 2001

Exploring evidence for shallow parsing.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Learning Coherent Concepts.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000
A Learning Approach to Shallow Parsing
CoRR, 2000

A Classification Approach to Word Prediction
CoRR, 2000

Applying System Combination to Base Noun Phrase Identification
CoRR, 2000

The Use of Classifiers in Sequential Inference.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Relational Representations that Facilitate Learning.
Proceedings of the KR 2000, 2000

Learning to Recognize 3D Objects with SNoW.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Learning to Recognize Objects.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Learning in Natural Language: Theory and Algorithmic Approaches.
Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000

Shallow Parsing by Inferencing with Classifiers.
Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000

Applying System Combination to Base Noun Phrase Identification.
Proceedings of the COLING 2000, 18th International Conference on Computational Linguistics, Proceedings of the Conference, 2 Volumes, July 31, 2000

A Classification Approach to Word Prediction.
Proceedings of the 6th Applied Natural Language Processing Conference, 2000

Toward a Theory of Learning Coherent Concepts.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Linearizable Read/Write Objects.
Theor. Comput. Sci., 1999

Learning to Reason with a Restricted View.
Machine Learning, 1999

A Winnow-Based Approach to Context-Sensitive Spelling Correction.
Machine Learning, 1999

Reasoning with Examples: Propositional Formulae and Database Dependencies.
Acta Inf., 1999

Coherent Concepts, Robust Learning.
Proceedings of the SOFSEM '99, Theory and Practice of Informatics, 26th Conference on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 27, 1999

A SNoW-Based Face Detector.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Learning in Natural Language.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Relational Learning for NLP using Linear Threshold Elements.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998
On Learning Read-k-Satisfy-j DNF.
SIAM J. Comput., 1998

A Winnow-Based Approach to Context-Sensitive Spelling Correction
CoRR, 1998

Learning to Resolve Natural Language Ambiguities: A Unified Approach
CoRR, 1998

Clustering Appearances of 3D Objects.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

Part of Speech Tagging Using a Network of Linear Separators.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

Learning to Resolve Natural Language Ambiguities: A Unified Approach.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Learning to reason.
J. ACM, 1997

Mistake-Driven Learning in Text Categorization
CoRR, 1997

Finding the Largest Area Axis-parallel Rectangle in a Polygon.
Comput. Geom., 1997

Defaults and Relevance in Model-Based Reasoning.
Artif. Intell., 1997

Linear Concepts and Hidden Variables: An Empirical Study.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning to Perform Knowledge-Intensive Inferences.
Proceedings of the Mathematical Foundations of Computer Science 1997, 1997

1996
On Learning Visual Concepts and DNF Formulae.
Machine Learning, 1996

Applying Winnow to Context-Sensitive Spelling Correction
CoRR, 1996

On the Hardness of Approximate Reasoning.
Artif. Intell., 1996

Reasoning with Models.
Artif. Intell., 1996

Learning in Order to Reason: The Approach.
Proceedings of the SOFSEM '96: Theory and Practice of Informatics, 1996

Learning Active Classifiers.
Proceedings of the Machine Learning, 1996

Applying Winnow to Context-Sensitive Spelling Correction.
Proceedings of the Machine Learning, 1996

A Connectionist Framework for Reasoning: Reasoning with Examples.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Learning to Reason: The Non-Monotonic Case.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Default-Reasoning with Models.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Learning to Reason with a Restricted View.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
On Learning Read-k-Satisfy-j DNF.
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

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

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

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

On Learning Visual Concepts and DNF Formulae.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

Finding the Maximum Area Axis-parallel Rectangle in a Polygon.
Proceedings of the 5th Canadian Conference on Computational Geometry, 1993

1992
Efficient, Strongly Consistent Implementations of Shared Memory (Extended Abstract).
Proceedings of the Distributed Algorithms, 6th International Workshop, 1992


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