http://www.cs.cmu.edu/~wcohen/pubs.htmlWilliam Cohen's publicationsTransformation of Dapp into RSSinfo@dapper.netTue, 09 Feb 2010 17:59:21 +0000http://www.cs.cmu.edu/~wcohen/postscript/locksmith-sub-2009.pdfData Integration for Many Data Sources using Context-Sensitive Similarity Metricshttp://www.cs.cmu.edu/~wcohen/postscript/ceas-2009.pdfInformation Leaks and Suggestions: A Case Study using Mozilla Thunderbirdhttp://www.cs.cmu.edu/~wcohen/postscript/emnlp-2009.pdfCharacter-level Analysis of Semi-Structured Documents for Set Expansionhttp://www.cs.cmu.edu/~wcohen/postscript/nips-2009-hots.pdfModeling corpora of timestamped documents using semisupervised nonparametric topic modelshttp://www.cs.cmu.edu/~wcohen/postscript/sdm-2010-pic-sub.pdfPower Iteration Clusteringhttp://www.cs.cmu.edu/~wcohen/postscript/acl-2009-asia.pdfAutomatic Set Instance Extraction using the Webhttp://www.cs.cmu.edu/~wcohen/postscript/cogsci-2009.pdfA Computational Model of How Learner Errors Arise from Weak Prior Knowledgehttp://www.cs.cmu.edu/~wcohen/postscript/biolink-2009.pdfStructured Literature Image Finderhttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2009-ahmed.pdfStructured Correspondence Topic Models for Mining Captioned Figures in Biological Literaturehttp://www.cs.cmu.edu/~wcohen/postscript/naacl2009-tae.pdfPredicting Response to Political Blog Posts with Topic Modelshttp://www.cs.cmu.edu/~wcohen/postscript/icwsm-2009-saga-final.pdfFrom Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequenceshttp://www.cs.cmu.edu/~wcohen/postscript/snas-2009.pdfInformation Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detectionhttp://www.cs.cmu.edu/~wcohen/postscript/icwsm-2009-aa-final.pdfInformation Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detectionhttp://www.cs.cmu.edu/~wcohen/postscript/icdm-2008-iseal.pdfIterative Set Expansion of Named Entities Using the Webhttp://www.cs.cmu.edu/~wcohen/postscript/cikm-2008.pdfIntra-document Structural Frequency Features for Semi-Supervised Domain Adaptationhttp://www.cs.cmu.edu/~wcohen/postscript/cikm08-carvalho.pdfSuppressing Outliers in Pairwise Preference Rankinghttp://www.cs.cmu.edu/~wcohen/postscript/emnlp-2008-richard.pdfAutomatic Set Expansion for List Question Answeringhttp://www.cs.cmu.edu/~wcohen/postscript/emnlp-2008-einat.pdfLearning Graph Walk Based Similarity Measures for Parsed Texthttp://www.cs.cmu.edu/~wcohen/postscript/acl-2008.pdfExploiting Feature Hierarchy for Transfer Learning in Named Entity Recognitionhttp://www.cs.cmu.edu/~wcohen/postscript/aaai-ws-2008-cutonce.pdfCutOnce - Recipient Recommendation and Leak Detection in Actionhttp://www.cs.cmu.edu/~wcohen/postscript/aaai-ws-2008-einat.pdfActivity-centric Search in Emailhttp://www.cs.cmu.edu/~wcohen/postscript/simstudent-authoring-submitted.pdfSimStudent: Building an Intelligent Tutoring System by Tutoring a Synthetic Studenthttp://www.cs.cmu.edu/~wcohen/postscript/tr-einat-2008.pdfLearning to Walk Structured Text Networkshttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2008-ramesh.pdfJoint Latent Topic Models for Text and Citationshttp://www.cs.cmu.edu/~wcohen/postscript/kdd2008-frank-submitted.pdfAccurate Semi-supervised Classification for Graph Datahttp://www.cs.cmu.edu/~wcohen/postscript/icwsm-2007-ramesh.pdfLink-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogshttp://www.cs.cmu.edu/~wcohen/postscript/icwsm-2007-yichia.pdfRecovering Implicit Thread Structure in Newsgroup Style Conversationshttp://www.cs.cmu.edu/~wcohen/postscript/icwsm-2007-frank-abstract.pdfThe MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classificationhttp://www.cs.cmu.edu/~wcohen/postscript/CMU-LTI-08-003.pdfThe MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classificationhttp://www.cs.cmu.edu/~wcohen/postscript/its-2008-final.pdfWhy Tutored Problem Solving may be better than Example Study: Theoretical Implications from a Simulated-Student Studyhttp://www.cs.cmu.edu/~wcohen/postscript/ecir2008.pdfRanking Users for Intelligent Message Addressinghttp://www.cs.cmu.edu/~wcohen/postscript/icdm-workshop-2007-transfer.pdfA Comparative Study of Methods for Transductive Transfer Learninghttp://www.cs.cmu.edu/~wcohen/postscript/icdm-workshop-2007-parallel.pdfParallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalabilityhttp://www.cs.cmu.edu/~wcohen/postscript/icdm-workshop-2007-graphs.pdfSparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Modelshttp://www.cs.cmu.edu/~wcohen/postscript/walksVsNetsdraft.pdfGraph Walks and Graphical Modelshttp://www.cs.cmu.edu/~wcohen/postscript/icdm-2007.pdfLanguage-Independent Set Expansion of Named Entities using the Webhttp://www.cs.cmu.edu/~wcohen/postscript/webkdd-2007.pdfLearning to Rank Typed Graph Walks: Local and Global Approacheshttp://portal.acm.org/citation.cfm?id=1210459.1210463Extending WHIRL with background knowledge for improved text classificationhttp://www.cs.cmu.edu/~wcohen/postscript/ceas-2007.pdfDiscovering Leadership Roles in Email Workgroupshttp://www.cs.cmu.edu/~wcohen/postscript/nipsws-2007.pdfOnline Stacked Graphical Learninghttp://www.cs.cmu.edu/~wcohen/postscript/cc-predict-submitted.pdfRecommending Recipients in the Enron Corpushttp://www.cs.cmu.edu/~wcohen/postscript/topic-tomography-submitted.pdfMultiscale Topic Tomographyhttp://www.cs.cmu.edu/~mazda/Doc/AIED2007/index.htmPredicting students performance with a SimStudent that learns cognitive skills from observationhttp://www.cs.cmu.edu/~mazda/Doc/UM2007/index.htmEvaluating a simulated student using real students data for training and testinghttp://www.cs.cmu.edu/~wcohen/postscript/isbi-2007.pdfIdentifying Fluorescence Microscope Images in Online Journal Publications using Both Image and Text Featureshttp://www.cs.cmu.edu/~wcohen/postscript/sdm-2007-leak.pdfPreventing Information Leaks in Emailhttp://www.cs.cmu.edu/~wcohen/postscript/sdm-2007-stack.pdfStacked Graphical Models for Efficient Inference in Markov Random Fieldshttp://www.cs.cmu.edu/~wcohen/postscript/psb-2007-stack.pdfA Stacked Graphical Model for Associating Information from Text And Images In Figureshttp://www.cs.cmu.edu/~wcohen/postscript/CMU-LTI-08-004.pdfLearning to Extract Gene-Protein Names from Weakly-Labeled Texthttp://reports-archive.adm.cs.cmu.edu/anon/ml/CMU-ML-06-106.pdfWhat characterizes a better demonstration for cognitive modeling by demonstration?http://reports-archive.adm.cs.cmu.edu/anon/ml/CMU-ML-06-105.pdfApplying Machine Learning to Cognitive Modeling for Cognitive Tutorshttp://www.cs.cmu.edu/~wcohen/postscript/ceas2006.pdfAn Email and Meeting Assistant using Graph Walkshttp://www.cs.cmu.edu/~wcohen/postscript/sigir2006.pdfContextual Search and Name Disambiguation in Email using Graphshttp://www.cs.cmu.edu/~wcohen/postscript/kdd2006.pdfSingle-Pass Online Learning: Performance, Voting Schemes and Online Feature Selectionhttp://www.cs.cmu.edu/~wcohen/postscript/hlt-acts-2006.pdfImproving Email Speech Act Analysis via N-gram Selectionhttp://www.cs.cmu.edu/~wcohen/postscript/hlt2006.pdfNER Systems that Suit Users Preferences: Adjusting the Recall-Precision Trade-off for Entity Extractionhttp://www.cs.cmu.edu/~wcohen/postscript/bio-ont-ws-2006.pdfA Graph-Search Framework for GeneId Ranking (Extended Abstract)http://www.biomedcentral.com/content/pdf/1471-2105-7-440.pdfA Graph-Search Framework for Associating Gene Identifiers with Documentshttp://www.cs.cmu.edu/~wcohen/postscript/hlt-2005.pdfExtracting Personal Names from Email: Applying Named Entity Recognition to Informal Texthttp://www.cs.cmu.edu/~wcohen/postscript/csna-2005.pdfBayesian methods for frequent terms in text: Models of contagion and the Delta square statistichttp://www.cs.cmu.edu/~wcohen/postscript/webmaster.pdfLearning to Understand Web Site Update Requestshttp://www.cs.cmu.edu/~wcohen/postscript/ijcai-2005-stack.pdfStacked Sequential Learninghttp://www.cs.cmu.edu/~wcohen/postscript/sigir-2005.pdfOn the Collective Classification of Email Speech Actshttp://www.cs.cmu.edu/~wcohen/postscript/ismb-2005.pdfHigh-Recall Protein Entity Recognition Using a Dictionaryhttp://www.cs.cmu.edu/~wcohen/postscript/aied-2005.pdfAutomatic and Semi-Automatic Skill Coding with a View Towards Supporting On-Line Assessmenthttp://www.cs.cmu.edu/~wcohen/postscript/japan-ws-2005.pdfAn Intelligent Authoring System with Programming by Demonstration.http://www.cs.cmu.edu/~wcohen/postscript/ilp-2005-late.pdfBuilding Cognitive Tutors with Programming by Demonstrationhttp://www.cs.cmu.edu/~wcohen/postscript/aaai-ws-2005.pdfApplying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutorshttp://www.cs.cmu.edu/~wcohen/postscript/coref-2004.pdfExtracting Personal Names from Emails: Applying Named Entity Recognition to Informal Texthttp://www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdfSemi-Markov Conditional Random Fields for Information Extractionhttp://www.cs.cmu.edu/~wcohen/postscript/ksce-2004.pdfExtracting and Structuring Subcellular Location Information from On-line Journal Articles: The Subcellular Location Image Finderhttp://www.cs.cmu.edu/~wcohen/postscript/psdm-2004.pdfA Secure Protocol for Computing String Distance Metricshttp://www.cs.cmu.edu/~wcohen/postscript/iiweb-2004.pdfLearning to Navigate Web Formshttp://www.cs.cmu.edu/~wcohen/postscript/speech-acts.pdfLearning to Classify Email into "Speech Acts"http://www.cs.cmu.edu/~wcohen/postscript/email-2004.pdfLearning to Extract Signature and Reply Lines from Emailhttp://www.cs.cmu.edu/~wcohen/postscript/ceas-2004.pdfInferring Ongoing Activities of Workstation Users by Clustering Emailhttp://www.cs.cmu.edu/~wcohen/postscript/uai-2004.pdfA Hierarchical Graphical Model for Record Linkagehttp://www.cs.cmu.edu/~wcohen/postscript/kdd-04-csmm.pdfExploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methodshttp://www.cs.cmu.edu/~wcohen/postscript/deb-2003.pdfLearning and Discovering Structure in Web Pageshttp://www.cs.cmu.edu/~wcohen/postscript/intelligent-systems-2003.pdfAdaptive Name-Matching in Information Integrationhttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2003-bio-ws.docExtracting Information from Text and Images for Location Proteomicshttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2003-match-ws.pdfA Comparison of String Metrics for Matching Names and Recordshttp://www.cs.cmu.edu/~wcohen/postscript/ijcai-ws-2003.pdfA Comparison of String Distance Metrics for Name-Matching Taskshttp://www.cs.cmu.edu/~wcohen/postscript/ismb-2003.pdfUnderstanding Captions in Biomedical Publicationshttp://www.cs.cmu.edu/~wcohen/postscript/iaai-2003.pdfInfrastructure Components for Large-Scale Information Extraction Systemshttp://www.cs.cmu.edu/~wcohen/postscript/sigir-2003.pdfBeyond Independent Topical Relevance: Methods and Evaluation Metrics for Subtopic Retrievalhttp://www.cs.cmu.edu/~wcohen/postscript/ws-chap-2002.pdfA Flexible Learning System for Wrapping Tables and Lists in HTML Documentshttp://www.cs.cmu.edu/~wcohen/postscript/nips-2002.pdfImproving A Page Classifier with Anchor Extraction and Link Analysishttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2002.pdfLearning to Match and Cluster Large High-Dimensional Data Sets For Data IntegrationWilliam W. Cohen & Jacob Richman (2001): Learning to Match and Cluster Entity Names in Proc. of the ACM SIGIR-2001 Workshop on Mathematical/Formal Methods in IR.http://www.cs.cmu.edu/~wcohen/postscript/IJCAI_Workshop_-_Wrapster_Associations.htmGrouping Extracted Fieldsin Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining.http://www.informatik.uni-trier.de/~ley/db/journals/jair/jair14.html#BasuHCN01J. Artif. Intell. Res. (JAIR) 14: 231-252 (2001)(Originally published as: Chumki Basu, Haym Hirsh, William W. Cohen (1998): Recommendation as Classification: Using Social and Content-Based Information in Recommendation. in AAAI/IAAI 1998: 714-720).http://www.informatik.uni-trier.de/~ley/db/conf/iwpt/iwpt2001.html#Cohen01IWPT 2001.http://www.research.microsoft.com/research/db/debull/A00sept/cohen.psLearning to Understand the Webhttp://www.cs.cmu.edu/~wcohen/postscript/kdd-2000.psHardening Soft Information Sourceshttp://www.cs.cmu.edu/~wcohen/postscript/ml-2000.psAutomatically extracting features for concept learning from the Webhttp://www9.org/w9cdrom/266/266.htmlWeb-Collaborative Filtering: Recommending Music by Crawling The Webhttp://www.cs.cmu.edu/~wcohen/postscript/tois-whirl.pdfData Integration using Similarity Joins and a Word-based Information Representation Languagehttp://www.cs.cmu.edu/~wcohen/postscript/aij-whirl-overview.psWHIRL: A Word-based Information Representation Languagehttp://www.informatik.uni-trier.de/~ley/db/journals/ijseke/ijseke9.html#CohenD99International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999)http://www.cs.cmu.edu/~wcohen/postscript/aaai-99-slipper.psSimple, Fast, and Effective Rule Learnerhttp://www.cs.cmu.edu/~wcohen/postscript/aaai-99-extract.psRecognizing Structure in Web Pages using Similarity Querieshttp://www8.org/w8-papers/5a-search-query/learning/index.htmlLearning Page-Independent Heuristics for Extracting Data from Web Pageshttp://www.cs.cmu.edu/~wcohen/postscript/jnl-agents.ps.gzReasoning about Textual Similarity in a Web-Based Information Accesshttp://www.jair.org/abstracts/cohen99a.htmlLearning to Order Thingshttp://www.cs.cmu.edu/~wcohen/postscript/tois-sigir.pdfContext-sensitive learning methods for text categorizationhttp://www.cs.cmu.edu/~wcohen/postscript/kdd-98.psJoins that Generalize: Text Classification Using WHIRLhttp://www.cs.cmu.edu/~wcohen/postscript/agents-98.psA Web-based Information System that Reasons with Structured Collections of Texthttp://www.informatik.uni-trier.de/~ley/db/journals/ml/ml30.html#Cohen98Machine Learning 30(1): 57-87 (1998)http://www.cs.cmu.edu/~wcohen/postscript/aaai-97-transfer.psTransferring and Retraining Learned Information Filtershttp://www.cs.cmu.edu/~wcohen/postscript/aaai-96.psLearning Trees and Rules with Set-valued Featureshttp://www.informatik.uni-trier.de/~ley/db/journals/ase/ase2.html#Cohen95Autom. Softw. Eng. 2(2): 107-129 (1995)http://www.cs.cmu.edu/~wcohen/postscript/ml-95-ripper.psFast effective rule inductionhttp://www.cs.cmu.edu/~wcohen/postscript/ml-95-ir.psText categorization and relational learninghttp://www.informatik.uni-trier.de/~ley/db/journals/ngc/ngc13.html#CohenP95New Generation Comput. 13(3&4): 369-409 (1995)http://www.cs.washington.edu/research/jair/home.htmlPac-learning recursive logic programs: Efficient algorithmshttp://www.cs.washington.edu/research/jair/home.htmlPac-learning recursive logic programs: Negative resultshttp://www.cs.cmu.edu/~wcohen/postscript/kr-94.psLearning the CLASSIC description logic: Theoretical and experimental resultshttp://www.informatik.uni-trier.de/~ley/db/journals/ml/ml17.html#CohenH94Machine Learning 17(2-3): 169-199 (1994)http://www.cs.cmu.edu/~wcohen/postscript/aaai-93-cryptlim.psCryptographic limitations on learning one-clause logic programshttp://www.cs.cmu.edu/~wcohen/postscript/aaai-93-force2.psPac-learning a restricted class of recursive logic programshttp://www.cs.cmu.edu/~wcohen/postscript/ml-91.psThe generality of overgeneralityhttp://www.informatik.uni-trier.de/~ley/db/conf/aaai/aaai90.html#Cohen90AAAI 1990: 743-748http://www.cs.cmu.edu/~wcohen/postscript/ml-90-axaebl.psLearning approximate control rules of high utilityhttp://www.cs.cmu.edu/~wcohen/postscript/ml-90-repshift.psAn analysis of representation shift in concept learninghttp://www.informatik.uni-trier.de/~ley/db/conf/icml/ml1988.html#Cohen88ICML 1988: 256-269