Selected and/or recent papers by William W. Cohen

Recent papers: 2018

  1. Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): Neural Models for Reasoning over Multiple Mentions using Coreference in NAACL.

Recent papers: 2017

  1. T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. La, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov,M. Greaves, J. Welling (2017): Never-Ending Learning in CACM.
  2. Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao (2017): Learning to Organize Knowledge with N-Gram Machines in arxiv.org/abs/1711.06744.
  3. Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, and William W. Cohen (2017): Breaking the Softmax Bottleneck: A High-Rank RNN Language Model in arxiv.org 1711.03953.
  4. Fan Yang, Zhilin Yang, William W. Cohen (2017): Differentiable Learning of Logical Rules for Knowledge Base Reasoning in NIPS-2017.
  5. Zihang Dai, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Good Semi-supervised Learning that Requires a Bad GAN in NIPS-2017.
  6. William W. Cohen and Fan Yang (2017): TensorLog: Deep Learning Meets Probabilistic Databases in arxiv.org 1707.05390.
  7. Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, William W. Cohen (2017): Explainable Entity-based Recommendations with Knowledge Graphs (poster paper) in RecSys-2017.
  8. Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen (2017): Quasar: Datasets for Question Answering by Search and Reading in arxiv 1707.03904.
  9. Bhuwan Dhingra, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Linguistic Knowledge as Memory for Recurrent Neural Networks in arxiv 1703.02620.
  10. Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, and William W. Cohen (2017): A Comparative Study of Word Embeddings for Reading Comprehension in arxiv 1703.00993.
  11. Rose Catherine, William W. Cohen (2017): TransNets: Learning to Transform for Recommendation in RecSys-2017.
  12. Lidong Bing, William W. Cohen, Bhuwan Dhingra, and Richard C. Wang (2017): Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction in IJCAI 2017.
  13. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
  14. Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen (2017): Semi-Supervised QA with Generative Domain-Adaptive Nets in ACL-2017.
  15. Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov (2017): Words or Characters? Fine-grained Gating for Reading Comprehension in ICLR 2017.
  16. Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen (2017): Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks in ICLR 2017.
  17. Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen (2017): Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora in AAAI 2017.

Recent papers: 2016

  1. William W. Cohen (2016): TensorLog: A Differentiable Deductive Database in arxiv.org 1605.06523.
  2. Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen and Daniel B. Neill (2016): Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams in arxiv 1602.04393 (won Yelp Dataset Challenge Grand Prize ).
  3. Douglas R. Pierce, David P. Redlawsk, and William W. Cohen (2016): Social Influences on Online Political Information Search and Evaluation in Political Behavior DOI 10.1007/s11109-016-9374-4.
  4. Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen (2016): Encode, Review, and Decode: Reviewer Module for Caption Generation in NIPS-2016.
  5. Rose Catherine and William W. Cohen (2016): Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach in RecSys 2016.
  6. Lidong Bing, William W. Cohen, Bhuwan Dhingra, and Richard C. Wang (2016): Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction in WAKBC-2016.
  7. Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick, Michael Muehl and William W. Cohen (2016): Tweet2Vec: Character-Based Distributed Representations for Social Media in ACL-2016 (short paper).
  8. William Yang Wang and William W. Cohen (2016): Learning First-Order Logic Embeddings via Matrix Factorization in IJCAI-2016.
  9. Zhilin Yang, Jei Tang, and William W. Cohen (2016): Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs in IJCAI-2016.
  10. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Revisiting Semi-Supervised Learning with Graph Embeddings in ICML-2016.
  11. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Multi-Task Cross-Lingual Sequence Tagging from Scratch in arxiv 1603.06270.
  12. Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen (2016): Distant IE by Bootstrapping Using Lists and Document Structure in AAAI-2016.
  13. Bhavana Dalvi and Aditya Mishra and William W. Cohen (2016): Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies in WSDM-2016.

Selected other papers

  1. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2015): Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach in ACL-2015.
  2. Dana Movshovitz-Attias and William W. Cohen (2015): KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts in ACL-2015.
  3. William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom Mitchell, and William W. Cohen (2015): Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic in Machine Learning, 2015.
  4. Bhavana Dalvi, Einat Minkov, Partha P. Talukdar, and William W. Cohen (2015): Automatic Gloss Finding for a Knowledge Base using Ontological Constraints in WSDM-2015.
  5. 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.
  6. 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.
  7. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2014): Structure Learning via Parameter Learning in CIKM-2014.
  8. 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).
  9. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2013): Knowledge Graph Identification in ISWC-2013 (Best Student Paper at ISWC-2013).
  10. Ramnath Balasubramanyan and William W. Cohen (2013): Regularization of Latent Variable Models to Obtain Sparsity in SDM-2013.
  11. Nan Li, William W. Cohen, Kenneth R. Koedinger (2012): Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars in ECML-2012.
  12. Ni Lao, Amar Subramanya, Fernando Pereira and William W. Cohen (2012): Reading The Web with Learned Syntactic-Semantic Inference Rules in EMNLP-CoNLL-2012.
  13. Dana Movshovitz-Attias and William W. Cohen (2012): Bootstrapping Biomedical Ontologies for Scientific Text using NELL in BioNLP-2012.
  14. 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.
  15. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2012): WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction in WSDM-2012.
  16. Ni Lao, Tom Mitchell, and William W. Cohen (2011): Random Walk Inference and Learning in A Large Scale Knowledge Base in EMNLP-2011.
  17. Frank Lin and William W. Cohen (2011): Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data in MLG-2011.
  18. 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.
  19. Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): Node Clustering in Graphs: An Empirical Study in NIPS-2010 Workshop on Networks Across Disciplines.
  20. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  21. 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.
  22. Frank Lin and William W. Cohen (2010): Power Iteration Clustering in ICML-2010.
  23. Frank Lin and William W. Cohen (2010): A Very Fast Method for Clustering Big Text Datasets in ECAI-2010.
  24. 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.
  25. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
  26. 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.
  27. 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.
  28. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  29. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  30. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  31. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  32. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  33. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  34. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  35. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.
  36. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  37. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  38. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  39. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  40. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  41. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  42. 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.
  43. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  44. 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).
  45. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  46. 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).
  47. 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).
  48. 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).
  49. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  50. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  51. 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).
  52. 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)).
  53. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  54. 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).
  55. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  56. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  57. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  58. 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: Deep Learning| Info Extraction/Reading| Topic Modeling| Learning in Graphs| Matching/Data Integration| Text Categorization| Rule Learning| Explanation-Based Learning| Formal Results| Inductive Logic Programming| Collaborative Filtering| Applications| Intelligent Tutoring| GNAT System| By year: All papers]