Papers by William W. Cohen

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2014

  1. Jay Pujara, Hui Miao, Lise Getoor and William W. Cohen (2014): Using Semantics & Statistics to Turn Data into Knowledge in AI Magazine 2014.
  2. Tuan-Ahn Hoang and William W. Cohen and Ee-Peng Lim (2014): On Modeling Community Behaviors and Sentiments in Microblogging in SDM-2014.
  3. William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom Mitchell, and William W. Cohen (2014): Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic in arxiv 1404-3301.
  4. Partha Pratim Talukdar and William W. Cohen (2014): Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch in AI-Stats 2014.
  5. Noboru Matsuda, Gabriel Stylianides, William W. Cohen, & Ken R. Koedinger (2014): Using a Synthetic Peer to Investigate the Effect of Competitive Learning by Teaching in Mathematics Paper in AERA-2014 (accepted).
  6. N. Matsuda, C. L. Griger, N. Barbalios, G. Stylianides, W. W. Cohen, & K. R. Koedinger. (2014): Investigating the Effect of Meta-Cognitive Scaffolding for Learning by Teaching. in ITS-2014.

2013

  1. Nan Li, William W. Cohen, and Ken Koedinger (2013): Problem Order Implications for Learning in IJAIE. (Originally published as: Nan Li, William W. Cohen, and Ken Koedinger (2012): Problem Order Implications for Learning Transfer in ITS-2012).
  2. Noboru Matsuda, E. Yarzebinski, V. Keiser, R. Raizada, William W. Cohen, G. J. Stylianides, & K. R. Koedinger (2013): Cognitive anatomy of tutor learning: Lessons learned with SimStudent. in Journal of Ed Psych, 105(4), 1152-1163. doi: 10.1037/a0031955. .
  3. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2013): Ontology-Aware Partitioning for Knowledge Graph Identification in AKBC-2013.
  4. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2013): Classifying Entities into an Incomplete Ontology in AKBC-2013.
  5. Douglas Pierce, David P. Redlawsk, and William W. Cohen (2013): Social Influences on Political Information Search and Evaluation in APSA-2013.
  6. William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in CIKM-2013 (Honorable Mention for Best Paper at CIKM-2013). (Originally published as: William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in arxiv 1305.2254; William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in ICML 2103 Workshop on Inferning).
  7. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2013): Knowledge Graph Identification in ISWC-2013 (Best Student Paper at ISWC-2013).
  8. Ramnath Balasubramanyan, Bhavana Dalvi and William W. Cohen (2013): From Topic Models to Semi-Supervised Learning: Biasing Mixed-membership Models to Exploit Topic-Indicative Features in Entity Clustering in ECML/PKDD-2013.
  9. Bhavana Dalvi and William W. Cohen and Jamie Callan (2013): Exploratory Learning in ECML/PKDD-2013.
  10. William W. Cohen, David P. Redlawsk and Douglas Pierce (2013): The Effect of Biased Communications On Both Trusting and Suspicious Voters in arxiv 1306.2558.
  11. Nan Li, William W. Cohen, and Ken Koedinger (2013): Discovering Student Models With A Clustering Algorithm Using Problem Content in EDM-2013.
  12. Nan Li, Yanduong Tian, William W. Cohen, and Ken Koedinger (2013): Integrating Perceptual Learning With External World Knowledge In A Simulated Student in AIED-2013.
  13. Nan Li, Eliane Stampfer, William W. Cohen, and Ken Koedinger (2013): Efficient Cross-Domain Cognitive Model Discovery Using A Simulated Student in CogSci-2013.
  14. Tuan-Ahn Hoang, William W. Cohen, Ee-Peng Lim, Doug Pierce, David Redlawsk (2013): Politics, Sharing and Emotion in Microblogs in ANOMAN-2013.
  15. Dana Movshovitz-Attias and William W. Cohen (2013): Natural Language Models for Predicting Programming Comments in ACL-2013 (short paper).
  16. Ramnath Balasubramanyan and William W. Cohen (2013): Regularization of Latent Variable Models to Obtain Sparsity in SDM-2013.
  17. Bhavana Dalvi and William W. Cohen (2013): Very Fast Similarity Queries on Semi-Structured Data from the Web in SDM-2013.

2012

  1. Frank Lin and William W. Cohen (2012): A General and Scalable Approach to Mixed Membership Clustering in ICDM-2012.
  2. Doug Pierce David P. Redlawsk William W. Cohen, Tae Yano, Ramnath Balasubramanyan (2012): Social and Affective Responses to Political Information in APSA-2012.
  3. Freddy Chong Tat Chua, William W. Cohen, Justin Betteridge, and Ee-Peng Lim (2012): Community-Based Classification of Noun Phrases in Twitter in CIKM-2012 (short paper).
  4. Nan Li, William W. Cohen, Kenneth R. Koedinger (2012): Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars in ECML-2012.
  5. Ramnath Balasubramanyan and William W. Cohen (2012): Entropic Regularization of Mixed-membership Network Models using Pseudo-observations in MLG-2012.
  6. Nan Li, Abraham Schreiber, William W. Cohen, Kenneth R. Koedinger (2012): Creating Features from a Learned Grammar in a Simulated Student in ECAI-2012.
  7. Mahesh Joshi, Mark Dredze, William Cohen and Carolyn Rose (2012): Multi-Domain Learning: When Do Domains Matter? in EMNLP-CoNLL-2012.
  8. Ni Lao, Amar Subramanya, Fernando Pereira and William W. Cohen (2012): Reading The Web with Learned Syntactic-Semantic Inference Rules in EMNLP-CoNLL-2012.
  9. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2012): Collectively Representing Semi-Structured Data from the Web in AKBC-2012.
  10. Ramnath Balasubramanyan, Kathryn Rivard, William W. Cohen, Jelena Jakovljevic and John Woolford (2012): Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks in BioNLP-2012.
  11. Dana Movshovitz-Attias and William W. Cohen (2012): Alignment-based Extraction of Abbreviations from Biomedical Text in BioNLP-2012.
  12. Dana Movshovitz-Attias and William W. Cohen (2012): Bootstrapping Biomedical Ontologies for Scientific Text using NELL in BioNLP-2012.
  13. Partha Pratim Talukdar and William W. Cohen (2012): Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia in BEA-2012.
  14. Einat Minkov and William W. Cohen (2012): Graph Based Similarity Measures for Synonym Extraction from Parsed Text in TextGraphs-2012.
  15. Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, William W. Cohen, Gabriel Stylianides, Kenneth R. Koedinger (2012): Shallow learning as a pathway for successful learning both for tutors and tutees in CogSci-2012.
  16. Noboru Matsuda, E. Yarzebinski, V. Keiser, V., R. Raizada, G. Stylianides, G., W. W. Cohen, et al. (2012): Motivational factors for learning by teaching: The effect of a competitive game show in a virtual peer-learning environment. in ITS-2012.
  17. Nan Li, William W. Cohen, and Ken Koedinger (2012): Efficient Cross-Domain Learning of Complex Skills in ITS-2012 (short paper).
  18. Ramnath Balasubramanyan, William W. Cohen, Doug Pierce, and David P. Redlawsk (2012): Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? in ICWSM-2012.
  19. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2012): WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction in WSDM-2012.

2011

  1. Ni Lao, Tom Mitchell, and William W. Cohen (2011): Random Walk Inference and Learning in A Large Scale Knowledge Base in EMNLP-2011.
  2. Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, and Eric P. Xing (2011): Structured Databases of Named Entities from Bayesian Nonparametrics in UNSUP-2011.
  3. Frank Lin and William W. Cohen (2011): Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data in MLG-2011.
  4. Nan Li and William W. Cohen and Kenneth R. Koedinger and Noboru Matsuda (2011): A Machine Learning Approach for Automatic Student Model Discovery in EDM-2011.
  5. Ramnath Balasubramanyan, William W. Cohen, Doug Pierce, and David P. Redlawsk (2011): What pushes their buttons? Predicting comment polarity from the content of political blog posts in LSM-2011.
  6. Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel J. Stylianides, William W. Cohen, Kenneth R. Koedinger (2011): Learning by Teaching SimStudent - An Initial Classroom Baseline Study comparing with Cognitive Tutor in AIED-2011.
  7. Bhavana Dalvi, Jamie Callan, and William W. Cohen (2011): Entity List Completion Using Set Expansion Techniques in TREC 2011.
  8. Ramnath Balasubramanyan and William W. Cohen (2011): Block-LDA: Jointly modeling entity-annotated text and entity-entity links in SDM-2011.

2010

  1. Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): Node Clustering in Graphs: An Empirical Study in NIPS-2010 Workshop on Networks Across Disciplines.
  2. Philip Stutz, Abraham Bernstein and William W. Cohen (2010): Signal/Collect: Graph Algorithms for the (Semantic) Web in ISWC-2010.
  3. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  4. Ni Lao and William W. Cohen (2010): Relational Retrieval Using a Combination of Path-Constrained Random Walks in ECML-2010 and MLJ-2010 Special Issue.
  5. Frank Lin and William W. Cohen (2010): Semi-Supervised Classification of Network Data Using Very Few Labels in ASONAM-2010.
  6. Ramnath Balasubramanyan and William W. Cohen (2010): Block-LDA: Jointly modeling entity-annotated text and entity-entity links in ICML-2010 Workshop on Topic Modeling.
  7. Frank Lin and William W. Cohen (2010): Power Iteration Clustering in ICML-2010.
  8. Frank Lin and William W. Cohen (2010): A Very Fast Method for Clustering Big Text Datasets in ECAI-2010.
  9. Ni Lao and William W. Cohen (2010): Fast Query Execution for Retrieval Models based on Path Constrained Random Walks in KDD-2010.
  10. L. P. Coelho, A. Ahmed, A. Arnold, J. Kangas, A.-S. Sheikh, E. Xing, W. Cohen, and R. F. Murphy (2010): Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature in Lecture Notes in Bioinformatics.
  11. A. Ahmed, A. Arnold, L. P. Coelho, J. Kangas, A.-S. Sheikh, E. Xing, W. Cohen, and R. F. Murphy (2010): Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature in Journal of Web Semantics.
  12. Nan Li, William W. Cohen, and Kenneth R. Koedinger (2010): A Computational Model of Accelerated Future Learning through Feature Recognition in ITS-2010 (poster).
  13. Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger (2010): Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students in ITS-2010.

2009

  1. William Cohen (2009): Graph Walks and Graphical Models in SCS Technical Report Collection.
  2. William W. Cohen, Natalie Glance, Charles Schafer, Roy Tromble, Yuk Wah Wong (2009): Data Integration for Many Data Sources using Context-Sensitive Similarity Metrics in preparation.
  3. Vitor Carvalho, Ramnath Balasubramanyan and William W. Cohen (2009): Information Leaks and Suggestions: A Case Study using Mozilla Thunderbird in CEAS-2009.
  4. Richard Wang and William W. Cohen (2009): Character-level Analysis of Semi-Structured Documents for Set Expansion in EMNLP 2009.
  5. Ramnath Balasubramanyan and William W. Cohen and Matthew Hurst (2009): Modeling corpora of timestamped documents using semisupervised nonparametric topic models in preparation.
  6. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
  7. Noboru Matsuda, Andrew Lee, William W. Cohen, and Ken Koedinger (2009): A Computational Model of How Learner Errors Arise from Weak Prior Knowledge in CogSci-2009.
  8. Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikk, Eric P. Xing, William W. Cohen, and Robert F. Murphy (2009): Structured Literature Image Finder in Biolink-2009.
  9. Amr Ahmed, Eric P. Xing, William W. Cohen, and Robert F. Murphy (2009): Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature in KDD-2009.
  10. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  11. Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Noah A. Smith, and Matthew Hurst (2009): From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences in ICWSM-2009 (poster).
  12. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  13. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in ICWSM-2009 (poster).

2008

  1. Richard Wang and William W. Cohen (2008): Iterative Set Expansion of Named Entities Using the Web in ICDM-2008.
  2. Andrew Arnold and William W. Cohen (2008): Intra-document Structural Frequency Features for Semi-Supervised Domain Adaptation in CIKM-2008.
  3. Vitor Carvalho, Jonathan L. Elsas, William W. Cohen, and Jaime G. Carbonell (2008): Suppressing Outliers in Pairwise Preference Ranking in CIKM-2008.
  4. Richard Wang, Nico Schlaefer, William W. Cohen, and Eric Nyberg (2008): Automatic Set Expansion for List Question Answering in EMNLP-2008.
  5. Einat Minkov and William W. Cohen (2008): Learning Graph Walk Based Similarity Measures for Parsed Text in EMNLP-2008.
  6. Andrew Arnold, Ramesh Nallapati and William W. Cohen (2008): Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition in ACL-2008.
  7. Ramnath Balasubramanyan, Vitor Carvalho, and William W. Cohen (2008): CutOnce - Recipient Recommendation and Leak Detection in Action in AAAI-2008 Workshop on Enhanced Messaging.
  8. Einat Minkov, Ramnath Balasubramanyan, and William W. Cohen (2008): Activity-centric Search in Email in AAAI-2008 Workshop on Enhanced Messaging.
  9. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth Koedinger (2008): SimStudent: Building an Intelligent Tutoring System by Tutoring a Synthetic Student in limbo.
  10. Einat Minkov and William W. Cohen (2008): Learning to Walk Structured Text Networks in CMU SCS Technical Report Series (CMU-LTI-08-02).
  11. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  12. Ramesh Nallapati and William W. Cohen (2008): Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs in ICWSM-2008.
  13. Yi-Chia Wang, Mahesh Joshi, William Cohen, and Carolyn Rose (2008): Recovering Implicit Thread Structure in Newsgroup Style Conversations in ICWSM-2008.
  14. Frank Lin and William W. Cohen (2008): The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification in ICWSM-2008 (poster).
  15. Frank Lin and William W. Cohen (2008): The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification in CMU SCS Technical Report Series (CMU-LTI-08-03).
  16. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, and Kenneth R. Koedinger (2008): Why Tutored Problem Solving may be better than Example Study: Theoretical Implications from a Simulated-Student Study in ITS-2008.
  17. Vitor Carvalho and William W. Cohen (2008): Ranking Users for Intelligent Message Addressing in ECIR-2008.

2007

  1. Andrew Arnold, Ramesh Nallapati and William W. Cohen (2007): A Comparative Study of Methods for Transductive Transfer Learning in ICDM Workshop on Mining and Management of Biological Data.
  2. Ramesh Nallapati, William W. Cohen, and John Lafferty (2007): Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability in ICDM Workshop on High Performance Data Mining.
  3. Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing (2007): Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models in ICDM Workshop on High Performance Data Mining.
  4. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  5. Einat Minkov and William Cohen (2007): Learning to Rank Typed Graph Walks: Local and Global Approaches in WebKDD-2007.
  6. Sarah Zelikovitz, William Cohen, and Haym Hirsh (2007): Extending WHIRL with background knowledge for improved text classification in Information Retrieval 10(1) pp 35-67.
  7. Vitor Carvalho, Wen Wu and William Cohen (2007): Discovering Leadership Roles in Email Workgroups in CEAS-2007.
  8. Zhenzhen Kou, Vitor Carvalho and William Cohen (2007): Online Stacked Graphical Learning in NIPS-07 Workshop on Efficient Machine Learning .
  9. Vitor Carvalho and William Cohen (2007): Recommending Recipients in the Enron Corpus in limbo.
  10. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  11. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Predicting students performance with a SimStudent that learns cognitive skills from observation in AIED-2007.
  12. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Evaluating a simulated student using real students data for training and testing in UM-2007.
  13. Juchang Hua, Orhan Ayasli, William Cohen and Robert Murphy (2007): Identifying Fluorescence Microscope Images in Online Journal Publications using Both Image and Text Features in ISBI-2007.
  14. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  15. Zhenzhen Kou and William W. Cohen (2007): Stacked Graphical Models for Efficient Inference in Markov Random Fields in SDM-2007.
  16. Zhenzhen Kou, William W. Cohen, and Robert F. Murphy (2007): A Stacked Graphical Model for Associating Information from Text And Images In Figures in PSB-2007.

2006

  1. Richard C. Wang, Anthony Tomasic, Robert E. Frederking, William W. Cohen (2006): Learning to Extract Gene-Protein Names from Weakly-Labeled Text in CMU SCS Technical Report Series (CMU-LTI-08-04).
  2. Noboru Matsuda, William Cohen & Ken Koedinger (2006): What characterizes a better demonstration for cognitive modeling by demonstration? in CMU SCS Technical Report Series (CMU-ML-06-106).
  3. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger (2006): Applying Machine Learning to Cognitive Modeling for Cognitive Tutors in CMU SCS Technical Report Series (CMU-ML-06-105).
  4. Einat Minkov and William W. Cohen (2006): An Email and Meeting Assistant using Graph Walks in CEAS-2006.
  5. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  6. Vitor Carvalho and William W. Cohen (2006): Single-Pass Online Learning: Performance, Voting Schemes and Online Feature Selection in KDD-2006 .
  7. Vitor Carvalho and William W. Cohen (2006): Improving Email Speech Act Analysis via N-gram Selection in HLT/NAACL ACTS Workshop 2006.
  8. Einat Minkov, Richard C.Wang, Anthony Tomasic and William W. Cohen (2006): NER Systems that Suit Users Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction in HLT/NAACL-2006 (short paper).
  9. William W. Cohen (2006): A Graph-Search Framework for GeneId Ranking (Extended Abstract) in BioNLP'06.
  10. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.

2005

  1. Einat Minkov, Richard C. Wang, and William W. Cohen (2005): Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text in EMNLP/HLT-2005.
  2. Edoardo M. Airoldi, William W. Cohen, Stephen Fienberg (2005): Bayesian methods for frequent terms in text: Models of contagion and the Delta square statistic in CSNA-2005.
  3. William W. Cohen, Einat Minkov & Anthony Tomasic (2005): Learning to Understand Web Site Update Requests in IJCAI-2005.
  4. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  5. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  6. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  7. Carolyn Rose, Pinar Donmez, G. Gweon, A. Knight, B. Junker, W. Cohen, K. Koedinger, N. Hefferman (2005): Automatic and Semi-Automatic Skill Coding with a View Towards Supporting On-Line Assessment in AIED-2005.
  8. Noboru Matsuda, William Cohen & Ken Koedinger (2005): An Intelligent Authoring System with Programming by Demonstration. in Proceedings of the Japan National Conference on Information and Systems in Education.
  9. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Building Cognitive Tutors with Programming by Demonstration in ILP-2005 (late-breaking paper).
  10. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors in AAAI Workshop on Human Comprehensible Machine Learning.

2004

  1. Einat Minkov, Richard Wang & William Cohen (2004): Extracting Personal Names from Emails: Applying Named Entity Recognition to Informal Text in preparation.
  2. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  3. Robert F. Murphy, Zhenzhen Kou, Juchang Hua, Matthew Joffe, William W. Cohen (2004): Extracting and Structuring Subcellular Location Information from On-line Journal Articles: The Subcellular Location Image Finder in KSCE-2004.
  4. Pradeep Ravikumar, William W. Cohen, Stephen E. Fienberg (2004): A Secure Protocol for Computing String Distance Metrics in PSDM-2004.
  5. Anthony Tomasic, William W. Cohen, Einat Minkov (2004): Learning to Navigate Web Forms in IIWeb 2004.
  6. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  7. Vitor Carvalho & William W. Cohen (2004): Learning to Extract Signature and Reply Lines from Email in CEAS 2004.
  8. Yifen Huang, Dinesh Govindaraju, Tom Mitchell, Vitor Carvalho & William W. Cohen (2004): Inferring Ongoing Activities of Workstation Users by Clustering Email in CEAS 2004.
  9. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  10. William W. Cohen & Sunita Sarawagi (2004): Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methods in KDD 2004: 89-98.

2003

  1. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  2. Mikael Bilenko, Ray Mooney, William W. Cohen, Pradeep Ravikumar & Steve Fienberg (2003): Adaptive Name-Matching in Information Integration in IEEE Intelligent Systems 18(5): 16-23 (2003).
  3. William W. Cohen, Zhenzhen Kou & Robert F. Murphy (2003): Extracting Information from Text and Images for Location Proteomics in BIOKDD 2003: 2-9.
  4. William W. Cohen, Pradeep Ravikumar & Stephen Fienberg (2003): A Comparison of String Metrics for Matching Names and Records in KDD Workshop on Data Cleaning and Object Consolidation.
  5. William W. Cohen, Pradeep Ravikumar & Stephen Fienberg (2003): A Comparison of String Distance Metrics for Name-Matching Tasks in IIWeb 2003: 73-78.
  6. William W. Cohen, Richard Wang & Robert Murphy (2003): Understanding Captions in Biomedical Publications in KDD 2003: 499-504.
  7. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  8. Cheng Zhai, William W. Cohen & John Lafferty (2003): Beyond Independent Topical Relevance: Methods and Evaluation Metrics for Subtopic Retrieval in SIGIR 2003: 10-17 (Won Ten-Year "Test of Time" Award at SIGIR 2014).
  9. William W. Cohen, Matthew Hurst & Lee S. Jensen (2003): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in Web Document Analysis: Challenges and Opportunities, ed. Antonacopoulos & Hu, Word Scientific Publishing. (Originally published as: William W. Cohen, Matthew Hurst & Lee S. Jensen (2002): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in WWW 2002: 232-241; Lee S. Jensen & William W. Cohen (2001): A Structured Wrapper Induction System for Extracting Information from Semi-Structured Documents in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining).

2002

  1. William W. Cohen (2002): Improving A Page Classifier with Anchor Extraction and Link Analysis in NIPS 2002.
  2. William W. Cohen & Jacob Richman (2002): Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration in KDD 2002: 475-480.

2001

  1. William 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.
  2. Lee S. Jensen & William W. Cohen (2001): Grouping Extracted Fields in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining.
  3. Chumki Basu, Haym Hirsh, William W. Cohen & Craig Neville-Manning (2001): Technical Paper Recommendation: A Study in Combining Multiple Information Sources in J. 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).
  4. William W. Cohen (2001): Issues in Extracting Information from the Web (Extended Abstract) in IWPT 2001.

2000

  1. William W. Cohen (2000): Extracting Information from the Web for Concept Learning and Collaborative Filtering in ALT 2000: 1-12.
  2. William W. Cohen, Andrew McCallum, Dallan Quass (2000): Learning to Understand the Web in IEEE Data Eng. Bull. 23(3): 17-24 (2000).
  3. Jaime G. Carbonell, Yiming Yang, William W. Cohen (2000): Special Issue of Machine Learning on Information Retrieval - Introduction in Machine Learning 39(2/3): 99-101 (2000).
  4. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  5. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  6. William W. Cohen and Wei Fan (2000): Web-Collaborative Filtering: Recommending Music by Crawling The Web in Computer Networks 33(1-6): 685-698 (2000). (Originally published as: William W. Cohen and Wei Fan (2000): Web-Collaborative Filtering: Recommending Music by Crawling The Web in WWW 2000).
  7. William W. Cohen (2000): Data Integration using Similarity Joins and a Word-based Information Representation Language in ACM Trans. Inf. Syst. 18(3): 288-321 (2000). (Originally published as: William W. Cohen (1998): Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity in SIGMOD Conference 1998: 201-212 (Won Ten-Year "Test of Time" Award at SIGMOD 2008); William W. Cohen (1997): Knowledge Integration for Structured Information Sources Containing Text (Extended Abstract) in SIGIR Workshop on Networked IR (informal proceedings)).
  8. William W. Cohen (2000): WHIRL: A Word-based Information Representation Language in Artif. Intell. 118(1-2): 163-196 (2000).
  9. William W. Cohen & Prem Devanbu (2000): Automatically Exploring Hypotheses about Fault Prediction: a Comparative Study of Inductive Logic Programming Methods in International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999). (Originally published as: William W. Cohen and Prem Devanbu (1997): A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction in ICML 1997: 66-74).

1999

  1. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  2. William W. Cohen (1999): What Can We Learn from the Web in ICML 1999.
  3. William W. Cohen (1999): Recognizing Structure in Web Pages using Similarity Queries in AAAI/IAAI 1999: 59-66.
  4. William W. Cohen and Wei Fan (1999): Learning Page-Independent Heuristics for Extracting Data from Web Pages in Computer Networks 31(11-16): 1641-1652 (1999). (Originally published as: William W. Cohen and Wei Fan (1999): Learning Page-Independent Heuristics for Extracting Data from Web Pages in WWW 1999).
  5. William W. Cohen (1999): Reasoning about Textual Similarity in a Web-Based Information Access in Autonomous Agents and Multi-Agent Systems 2(1): 65-86 (1999).
  6. William W. Cohen (1999): A Demonstration of WHIRL (demonstration abstract) in SIGIR 1999: 327.
  7. William W. Cohen (1999): Some Practical Observations on Integration of Web Information in WebDB (Informal Proc.) 1999: 55-60.
  8. William W. Cohen, Rob Schapire, Yoram Singer (1999): Learning to Order Things in J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999). (Originally published as: William W. Cohen, Robert E. Schapire, Yoram Singer (1997): Learning to Order Things in NIPS 1997).
  9. William W. Cohen & Yoram Singer (1999): Context-sensitive learning methods for text categorization in ACM Trans. Inf. Syst. 17(2): 141-173 (1999). (Originally published as: William W. Cohen and Yoram Singer (1996): Context-sensitive learning methods for text categorization in SIGIR 1996: 307-315).

1998

  1. William W. Cohen (1998): The WHIRL Approach to Information Integration in IEEE Intelligent Systems, Sept/Oct 1998, pp 20--23.
  2. William W. Cohen & Haym Hirsh (1998): Joins that Generalize: Text Classification Using WHIRL in KDD 1998: 169-173.
  3. William W. Cohen (1998): Providing Database-like Access to the Web Using Queries Based on Textual Similarity (demonstration abstract) in SIGMOD Conference 1998: 558-560.
  4. William W. Cohen (1998): A Web-based Information System that Reasons with Structured Collections of Text in Agents 1998: 400-407.
  5. William W. Cohen (1998): The WHIRL Approach to Integration: An Overview in IIWeb 1998 (informal proceedings).
  6. William W. Cohen (1998): Hardness Results for Learning First-Order Representations and Programming by Demonstration in Machine Learning 30(1): 57-87 (1998). (Originally published as: William W. Cohen (1996): The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract) in COLT 1996: 29-40).

1997

  1. William W. Cohen and Daniel Kudenko (1997): Transferring and Retraining Learned Information Filters in AAAI/IAAI 1997: 583-590.

1996

  1. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  2. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  3. William W. Cohen and Yoram Singer (1996): Learning to Query the Web in AAAI Workshop on Internet-Based Information Access Systems 1996.
  4. William W. Cohen (1996): Adaptive mapping and navigation by teams of simple robots in Robotics and Autonomous Systems, 18: 411-434 (1996).

1995

  1. William W. Cohen (1995): Pac-learning non-recursive prolog clauses in Artif. Intell. 79(1): 1-38 (1995).
  2. William W. Cohen (1995): Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors in Autom. Softw. Eng. 2(2): 107-129 (1995). (Originally published as: William W. Cohen (1994): Recovering Software Specifications with Inductive Logic Programming in AAAI 1994: 142-148).
  3. William W. Cohen (1995): Learning to Classify English Text with ILP Methods in Advances in ILP, ed. L. de Readt, IOS Press.
  4. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  5. William W. Cohen (1995): Text categorization and relational learning in ICML 1995: 124-132.
  6. William W. Cohen and C. David Page Jr (1995): Polynomial learnability and inductive logic programming: Methods and results in New Generation Comput. 13(3&4): 369-409 (1995).
  7. William W. Cohen (1995): Pac-learning recursive logic programs: Efficient algorithms in J. Artif. Intell. Res. (JAIR) 2: 501-539 (1995).
  8. William W. Cohen (1995): Pac-learning recursive logic programs: Negative results in J. Artif. Intell. Res. (JAIR) 2: 541-573 (1995).

1994

  1. William W. Cohen (1994): Pac-learning nondeterminate Clauses in AAAI 1994: 676-681.
  2. L. Thorn McCarty and William W. Cohen (1994): The case for explicit exceptions in Methods of Logic in Computer Science, 1(1).
  3. Haym Hirsh and William W. Cohen (1994): Learning from data with bounded inconsistency: Theoretical and experimental results in Computational learning theory and natural learning systems (Volume I), MIT Press..
  4. William W. Cohen and Haym Hirsh (1994): Learning the CLASSIC description logic: Theoretical and experimental results in KR 1994: 121-133.
  5. William W. Cohen and Haym Hirsh (1994): Learnability of description logics with equality constraints in Machine Learning 17(2-3): 169-199 (1994). (Originally published as: William W. Cohen and Haym Hirsh (1992): Learnability of Description Logics in COLT 1992: 116-127).
  6. William W. Cohen, Russell Greiner, and Dale Schuurmans (1994): Probabilistic hill-climbing in Computational learning theory and natural learning systems (Volume II), MIT Press..
  7. William W. Cohen (1994): Incremental abductive EBL in Machine Learning 15(1): 5-24 (1994).
  8. William W. Cohen (1994): Grammatically biased learning: learning logic programs using an explicit antecedent description language in Artif. Intell. 68(2): 303-366 (1994).

1993

  1. William W. Cohen (1993): Cryptographic limitations on learning one-clause logic programs in AAAI 1993: 80-85.
  2. P. S. Rosenbloom, H. Hirsh, Cohen, and B. D. Smith (1993): Two frameworks for integrating knowledge in induction in Proc. of the Seventh Annual Workshop on Space Operations, Applications, and Research (SOAR '93).
  3. William W. Cohen (1993): Rapid prototyping of ILP systems using explicit bias in Proc. of the 1993 IJCAI Workshop on Inductive Logic Programming.
  4. William W. Cohen (1993): Pac-learning a restricted class of recursive logic programs in AAAI 1993: 86-92.
  5. William W. Cohen (1993): Efficient pruning methods for separate-and-conquer rule learning systems in IJCAI 1993: 988-994.
  6. William W. Cohen (1993): Learnability of Restricted Logic Programs in Proc. of the Third International Workshop on Inductive Logic Programming (ILP-93).
  7. William W. Cohen (1993): A Review of `Creating a Memory of Causal Relationships' by Michael Pazzani in Machine Learning (1993).

1992

  1. William W. Cohen, Alex Borgida, and Haym Hirsh (1992): Computing least common subsumers in description logics in AAAI 1992: 754-760.
  2. William W. Cohen (1992): Using distribution-free learning theory to analyze solution path caching mechanisms in Computational Intelligence 8: 336-375 (1992).
  3. William W. Cohen (1992): Desiderata for generalization-to-n algorithms in AII 1992: 140-150.
  4. William W. Cohen (1992): Compiling prior knowledge into an explicit bias in ICML 1992: 102-110.
  5. William W. Cohen (1992): Abductive explanation based learning: A solution to the multiple inconsistent explanation problem in Machine Learning 8: 167-219 (1992).

1991

  1. William W. Cohen (1991): The generality of overgenerality in ICML 1991: 490-494.

1990

  1. William W. Cohen (1990): Learning from textbook knowledge: A case study in AAAI 1990: 743-748.
  2. William W. Cohen (1990): Learning approximate control rules of high utility in ICML 1990: 268-276.
  3. William W. Cohen (1990): An analysis of representation shift in concept learning in ICML 1990: 104-112.
  4. William W. Cohen (1990): Learning from Examples and an "Abductive Theory" in Proc. of the 1990 AAAI Spring Symposium on Abduction.

1988

  1. William W. Cohen (1988): Generalizing number and learning from multiple examples in explanation-based learning in ICML 1988: 256-269.
  2. William W. Cohen, Jack Mostow & Alex Borgida (1988): Generalizing number in explanation-based learning in Proc. of the 1988 AAAI Spring Symposium on Explanation-Based Learning.

1987

  1. G. Miller, D. Rosenthal, W. Cohen, and M. Johnston (1987): Expert systems tools for hubble space telescope scheduling in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.
  2. T. Hornick, W. Cohen, and G. Miller (1987): A natural language query system for hubble space telescope proposal selection in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.

1986

  1. K. Bartlett, W. Cohen, Aart De Geus, and G. Hachtel (1986): Synthesis and optimization of multi-level logic under timing constraints in Proc. of the IEEE International Conference on Computer-Aided Design.

1985

  1. A. De Geus and W. Cohen (1985): Optimization of combinational logic using a rule-based expert system in IEEE Design and Test of Computers.
  2. W. Cohen, K. Bartlett, and A. De Geus (1985): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.

1984

  1. W. Cohen, K. Bartlett, and A. De Geus (1984): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.
  2. Karl Garrison, David Gregory, William W. Cohen & Aart De Geus, (1984): Automatic Area and Performance Optimization of Combinatorial Logic in Proc. of the IEEE International Conference on Computer-Aided Design.

[Selected papers| By topic: Matching/Data Integration| Text Categorization| Topic Modeling| Rule Learning| Explanation-Based Learning| Formal Results| Inductive Logic Programming| Information Extraction| Collaborative Filtering| Applications| Intelligent Tutoring| Learning in Graphs| By year: All papers]