William W. Cohen Papers on DiSC'06 On the collective classification of email "speech acts" Publications Note: Links lead to the DBLP on the Web. William W. Cohen William W. Cohen, Einat Minkov , Anthony Tomasic : Learning to Understand Web Site Update Requests. IJCAI 2005 : 1028-1033 William W. Cohen, Vitor Rocha de Carvalho : Stacked Sequential Learning. IJCAI 2005 : 671-676 Zhenzhen Kou , William W. Cohen, Robert F. Murphy : High-recall protein entity recognition using a dictionary. ISMB (Supplement of Bioinformatics) 2005 : 266-273 Vitor Rocha de Carvalho , William W. Cohen: On the collective classification of email "speech acts". SIGIR 2005 : 345-352 Yifen Huang , Dinesh Govindaraju , Tom Mitchell , Vitor Rocha de Carvalho , William W. Cohen: Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS 2004 Vitor Rocha de Carvalho , William W. Cohen: Learning to Extract Signature and Reply Lines from Email. CEAS 2004 William W. Cohen, Sunita Sarawagi : Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. KDD 2004 : 89-98 Sunita Sarawagi , William W. Cohen: Semi-Markov Conditional Random Fields for Information Extraction. NIPS 2004 Zhenzhen Kou , William W. Cohen, Robert F. Murphy : Extracting information from text and images for location proteomics. BIOKDD 2003 : 2-9 William W. Cohen: Infrastructure Components for Large-Scale Information Extraction Systems. IAAI 2003 : 71-78 William W. Cohen, Pradeep Ravikumar , Stephen E. Fienberg : A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003 : 73-78 William W. Cohen, Richard Wang , Robert F. Murphy : Understanding captions in biomedical publications. KDD 2003 : 499-504 ChengXiang Zhai , William W. Cohen, John D. Lafferty : Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003 : 10-17 William W. Cohen: Learning and Discovering Structure in Web Pages. IEEE Data Eng. Bull. 26 (3): 3-10 (2003) Mikhail Bilenko , Raymond J. Mooney , William W. Cohen, Pradeep Ravikumar , Stephen E. Fienberg : Adaptive Name Matching in Information Integration. IEEE Intelligent Systems 18 (5): 16-23 (2003) William W. Cohen, Jacob Richman : Learning to match and cluster large high-dimensional data sets for data integration. KDD 2002 : 475-480 William W. Cohen: Improving a Page Classifier with Anchor Extraction and Link Analysis. NIPS 2002 : 1481-1488 William W. Cohen, Matthew Hurst , Lee S. Jensen : A flexible learning system for wrapping tables and lists in HTML documents. WWW 2002 : 232-241 William W. Cohen: Issues in Extracting Information from the Web. IWPT 2001 Chumki Basu , Haym Hirsh , William W. Cohen, Craig G. Nevill-Manning : Technical Paper Recommendation: A Study in Combining Multiple Information Sources. J. Artif. Intell. Res. (JAIR) 14 : 231-252 (2001) William W. Cohen: Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT 2000 : 1-12 William W. Cohen: Automatically Extracting Features for Concept Learning from the Web. ICML 2000 : 159-166 William W. Cohen, Henry A. Kautz , David A. McAllester : Hardening soft information sources. KDD 2000 : 255-259 William W. Cohen: Data integration using similarity joins and a word-based information representation language. ACM Trans. Inf. Syst. 18 (3): 288-321 (2000) William W. Cohen: WHIRL: A word-based information representation language. Artif. Intell. 118 (1-2): 163-196 (2000) William W. Cohen, Wei Fan : Web-collaborative filtering: recommending music by crawling the Web. Computer Networks 33 (1-6): 685-698 (2000) William W. Cohen, Andrew McCallum , Dallan Quass : Learning to Understand the Web. IEEE Data Eng. Bull. 23 (3): 17-24 (2000) Jaime G. Carbonell , Yiming Yang , William W. Cohen: Special Issue of Machine Learning on Information Retrieval - Introduction. Machine Learning 39 (2/3): 99-101 (2000) William W. Cohen, Yoram Singer : A Simple, Fast, and Effictive Rule Learner. AAAI/IAAI 1999 : 335-342 William W. Cohen: Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI 1999 : 59-66 William W. Cohen: A Demonstration of WHIRL (demonstration abstract). SIGIR 1999 : 327 William W. Cohen: Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) 1999 : 55-60 William W. Cohen, Yoram Singer : Context-Sensitive Learning Methods for Text Categorization. ACM Trans. Inf. Syst. 17 (2): 141-173 (1999) William W. Cohen: Reasoning about Textual Similarity in a Web-Based Information Access System. Autonomous Agents and Multi-Agent Systems 2 (1): 65-86 (1999) William W. Cohen, Wei Fan : Learning Page-Independent Heuristics for Extracting Data from Web Pages. Computer Networks 31 (11-16): 1641-1652 (1999) William W. Cohen, Premkumar T. Devanbu : Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. International Journal of Software Engineering and Knowledge Engineering 9 (5): 519-546 (1999) William W. Cohen, Robert E. Schapire , Yoram Singer : Learning to Order Things. J. Artif. Intell. Res. (JAIR) 10 : 243-270 (1999) Chumki Basu , Haym Hirsh , William W. Cohen: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998 : 714-720 William W. Cohen: A Web-Based Information System that Reasons with Structured Collections of Text. Agents 1998 : 400-407 William W. Cohen, Haym Hirsh : Joins that Generalize: Text Classification Using WHIRL. KDD 1998 : 169-173 William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998 : 201-212 William W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998 : 558-560 Narendar Yalamanchilli , William W. Cohen: Communication Performance of Java-Based Parallel Virtual Machines. Concurrency - Practice and Experience 10 (11-13): 1189-1196 (1998) William W. Cohen: Hardness Results for Learning First-Order Representations and Programming by Demonstration. Machine Learning 30 (1): 57-87 (1998) William W. Cohen, Daniel Kudenko : Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997 : 583-590 William W. Cohen, Premkumar T. Devanbu : A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997 : 66-74 William W. Cohen, Robert E. Schapire , Yoram Singer : Learning to Order Things. NIPS 1997 William W. Cohen: Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996 : 709-716 William W. Cohen: The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). COLT 1996 : 29-40 William W. Cohen, Yoram Singer : Context-sensitive Learning Methods for Text Categorization. SIGIR 1996 : 307-315 William W. Cohen: Adaptive mapping and navigation by teams of simple robots. Robotics and Autonomous Systems 18 (4): 411-434 (1996) William W. Cohen, Haym Hirsh : Corrigendum for ``Learnability of Description Logics''. COLT 1995 : 463 William W. Cohen: Fast Effective Rule Induction. ICML 1995 : 115-123 William W. Cohen: Text Categorization and Relational Learning. ICML 1995 : 124-132 William W. Cohen: Pac-Learning Non-Recursive Prolog Clauses. Artif. Intell. 79 (1): 1-38 (1995) William W. Cohen: Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Autom. Softw. Eng. 2 (2): 107-129 (1995) William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms CoRR cs.AI/9505104 : (1995) William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results CoRR cs.AI/9505105 : (1995) William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. J. Artif. Intell. Res. (JAIR) 2 : 501-539 (1995) William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. J. Artif. Intell. Res. (JAIR) 2 : 541-573 (1995) William W. Cohen, C. David Page Jr. : Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Comput. 13 (3&4): 369-409 (1995) William W. Cohen: Recovering Software Specifications with Inductive Logic Programming. AAAI 1994 : 142-148 William W. Cohen: Pac-Learning Nondeterminate Clauses. AAAI 1994 : 676-681 William W. Cohen, Haym Hirsh : Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994 : 121-133 William W. Cohen: Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. 68 (2): 303-366 (1994) William W. Cohen: Incremental Abductive EBL. Machine Learning 15 (1): 5-24 (1994) William W. Cohen, Haym Hirsh : The Learnability of Description Logics with Equality Constraints. Machine Learning 17 (2-3): 169-199 (1994) William W. Cohen: Cryptographic Limitations on Learning One-Clause Logic Programs. AAAI 1993 : 80-85 William W. Cohen: Pac-Learning a Restricted Class of Recursive Logic Programs. AAAI 1993 : 86-92 William W. Cohen: Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. IJCAI 1993 : 988-994 William W. Cohen: Creating a Memory of Casual Relationships (Book Review). Machine Learning 10 : 179-183 (1993) William W. Cohen, Alexander Borgida , Haym Hirsh : Computing Least Common Subsumers in Description Logics. AAAI 1992 : 754-760 William W. Cohen: Desiderata for Generalization-to-N Algorithms. AII 1992 : 140-150 William W. Cohen, Haym Hirsh : Learnability of Description Logics. COLT 1992 : 116-127 William W. Cohen: Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. Computational Intelligence 8 : 336-375 (1992) William W. Cohen: Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. Machine Learning 8 : 167-219 (1992) William W. Cohen: The Generality of Overgenerality. ML 1991 : 490-494 William W. Cohen: Learning from Textbook Knowledge: A Case Study. AAAI 1990 : 743-748 William W. Cohen: An Analysis of Representation Shift in Concept Learning. ML 1990 : 104-112 William W. Cohen: Learning Approximate Control Rules of High Utility. ML 1990 : 268-276 William W. Cohen: Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. ML 1988 : 256-269 1 [ 44 ] [ 62 ] 2 [ 67 ] 3 [ 10 ] 4 [ 54 ] 5 [ 76 ] [ 77 ] [ 78 ] [ 80 ] 6 [ 36 ] [ 46 ] 7 [ 47 ] [ 56 ] 8 [ 67 ] [ 71 ] 9 [ 77 ] 10 [ 8 ] [ 10 ] [ 15 ] [ 18 ] [ 30 ] [ 42 ] [ 44 ] [ 62 ] 11 [ 77 ] 12 [ 64 ] 13 [ 64 ] 14 [ 59 ] 15 [ 73 ] [ 79 ] 16 [ 37 ] 17 [ 69 ] 18 [ 59 ] 19 [ 55 ] 20 [ 81 ] 21 [ 77 ] 22 [ 67 ] 23 [ 70 ] [ 73 ] [ 79 ] 24 [ 62 ] 25 [ 21 ] 26 [ 55 ] 27 [ 67 ] [ 71 ] 28 [ 66 ] 29 [ 74 ] [ 75 ] 30 [ 35 ] [ 45 ] 31 [ 32 ] [ 35 ] [ 45 ] [ 49 ] [ 53 ] 32 [ 81 ] 33 [ 70 ] 34 [ 39 ] 35 [ 54 ] 36 [ 69 ] ©2006 Association for Computing Machinery