William W. Cohen's Papers: Learning in Graphs

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  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. 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.
  3. Frank Lin and William W. Cohen (2012): A General and Scalable Approach to Mixed Membership Clustering in ICDM-2012.
  4. Ramnath Balasubramanyan and William W. Cohen (2012): Entropic Regularization of Mixed-membership Network Models using Pseudo-observations in MLG-2012.
  5. 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.
  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 and William W. Cohen (2011): Block-LDA: Jointly modeling entity-annotated text and entity-entity links in SDM-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. Philip Stutz, Abraham Bernstein and William W. Cohen (2010): Signal/Collect: Graph Algorithms for the (Semantic) Web in ISWC-2010.
  11. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  12. 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.
  13. Frank Lin and William W. Cohen (2010): Semi-Supervised Classification of Network Data Using Very Few Labels in ASONAM-2010.
  14. 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.
  15. Frank Lin and William W. Cohen (2010): Power Iteration Clustering in ICML-2010.
  16. Frank Lin and William W. Cohen (2010): A Very Fast Method for Clustering Big Text Datasets in ECAI-2010.
  17. Ni Lao and William W. Cohen (2010): Fast Query Execution for Retrieval Models based on Path Constrained Random Walks in KDD-2010.
  18. William Cohen (2009): Graph Walks and Graphical Models in SCS Technical Report Collection.
  19. 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).
  20. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  21. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in ICWSM-2009 (poster).
  22. Einat Minkov and William W. Cohen (2008): Learning Graph Walk Based Similarity Measures for Parsed Text in EMNLP-2008.
  23. Einat Minkov, Ramnath Balasubramanyan, and William W. Cohen (2008): Activity-centric Search in Email in AAAI-2008 Workshop on Enhanced Messaging.
  24. Einat Minkov and William W. Cohen (2008): Learning to Walk Structured Text Networks in CMU SCS Technical Report Series (CMU-LTI-08-02).
  25. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  26. Ramesh Nallapati and William W. Cohen (2008): Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs in ICWSM-2008.
  27. 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).
  28. 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).
  29. Einat Minkov and William Cohen (2007): Learning to Rank Typed Graph Walks: Local and Global Approaches in WebKDD-2007.
  30. Vitor Carvalho, Wen Wu and William Cohen (2007): Discovering Leadership Roles in Email Workgroups in CEAS-2007.
  31. Zhenzhen Kou, Vitor Carvalho and William Cohen (2007): Online Stacked Graphical Learning in NIPS-07 Workshop on Efficient Machine Learning .
  32. Zhenzhen Kou and William W. Cohen (2007): Stacked Graphical Models for Efficient Inference in Markov Random Fields in SDM-2007.
  33. 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.
  34. Einat Minkov and William W. Cohen (2006): An Email and Meeting Assistant using Graph Walks in CEAS-2006.
  35. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  36. William W. Cohen (2006): A Graph-Search Framework for GeneId Ranking (Extended Abstract) in BioNLP'06.
  37. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.
  38. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  39. William W. Cohen, Andrew McCallum, Dallan Quass (2000): Learning to Understand the Web in IEEE Data Eng. Bull. 23(3): 17-24 (2000).
  40. William W. Cohen (1998): The WHIRL Approach to Information Integration in IEEE Intelligent Systems, Sept/Oct 1998, pp 20--23.

[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]