Selected and/or recent papers by William W. Cohen

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Recent papers: 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.

Recent papers: 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.

Recent papers: 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.

Selected other papers

  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. Frank Lin and William W. Cohen (2011): Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data in MLG-2011.
  3. 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.
  4. Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): Node Clustering in Graphs: An Empirical Study in NIPS-2010 Workshop on Networks Across Disciplines.
  5. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  6. 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.
  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. 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.
  10. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
  11. 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.
  12. 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.
  13. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  14. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  15. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  16. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  17. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  18. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  19. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  20. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.
  21. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  22. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  23. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  24. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  25. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  26. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  27. 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.
  28. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  29. 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).
  30. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  31. 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).
  32. 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).
  33. 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).
  34. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  35. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  36. 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).
  37. 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)).
  38. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  39. 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).
  40. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  41. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  42. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  43. William W. Cohen and Haym Hirsh (1994): Learning the CLASSIC description logic: Theoretical and experimental results in KR 1994: 121-133.

[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]