Selected and/or recent papers by William W. Cohen

[RSS feed]

Recent papers: 2015

  1. T. Mitchell, W. Cohen, E. Hruscha, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner,B. Kisiel,J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohammad, N. Nakashole, E. Platanios,A. Ritter, M. Samadi, B. Settles, R.Wang, D.Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J.Welling (2015): Never-Ending Learning in AAAI-2015.

Recent papers: 2014

  1. Ramnath Balasubramanyan and William W. Cohen (2014): Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links in Handbook of Mixed Membership Models and Their Applications.
  2. Bhavana Dalvi and William W. Cohen (2014): Multi-view Exploratory Learning for AKBC Problems in AKBC-2014.
  3. William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, and William W. Cohen (2014): Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach in EMNLP-2014.
  4. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2014): Structure Learning via Parameter Learning in CIKM-2014.
  5. Bhavana Dalvi and William W. Cohen (2014): Multi-View Hierarchical Semi-supervised Learning by Optimal Assignment of Sets of Labels to Instances in preparation.
  6. Bhavana Dalvi, Einat Minkov, Partha P. Talukdar and William W. Cohen (2014): Automatic Gloss Finding for a Knowledge Base using Ontological Constraints in preparation.
  7. Jay Pujara, Hui Miao, Lise Getoor and William W. Cohen (2014): Using Semantics & Statistics to Turn Data into Knowledge in AI Magazine 2014.
  8. Tuan-Ahn Hoang and William W. Cohen and Ee-Peng Lim (2014): On Modeling Community Behaviors and Sentiments in Microblogging in SDM-2014.
  9. 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.
  10. 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.
  11. 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).
  12. 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.

Selected other papers

  1. Nan Li, William W. Cohen, Kenneth R. Koedinger (2012): Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars in ECML-2012.
  2. Ni Lao, Amar Subramanya, Fernando Pereira and William W. Cohen (2012): Reading The Web with Learned Syntactic-Semantic Inference Rules in EMNLP-CoNLL-2012.
  3. Dana Movshovitz-Attias and William W. Cohen (2012): Bootstrapping Biomedical Ontologies for Scientific Text using NELL in BioNLP-2012.
  4. 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.
  5. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2012): WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction in WSDM-2012.
  6. Ni Lao, Tom Mitchell, and William W. Cohen (2011): Random Walk Inference and Learning in A Large Scale Knowledge Base in EMNLP-2011.
  7. Frank Lin and William W. Cohen (2011): Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data in MLG-2011.
  8. 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.
  9. Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): Node Clustering in Graphs: An Empirical Study in NIPS-2010 Workshop on Networks Across Disciplines.
  10. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  11. 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.
  12. Frank Lin and William W. Cohen (2010): Power Iteration Clustering in ICML-2010.
  13. Frank Lin and William W. Cohen (2010): A Very Fast Method for Clustering Big Text Datasets in ECAI-2010.
  14. 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.
  15. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
  16. 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.
  17. 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.
  18. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  19. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  20. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  21. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  22. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  23. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  24. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  25. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.
  26. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  27. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  28. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  29. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  30. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  31. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  32. 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.
  33. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  34. 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).
  35. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  36. 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).
  37. 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).
  38. 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).
  39. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  40. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  41. 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).
  42. 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)).
  43. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  44. 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).
  45. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  46. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  47. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  48. 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]