Selected and/or recent papers by William W. Cohen

Recent papers: 2021

  1. Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen (2021): What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult in AAAI2021.
  2. Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen (2021): Reasoning Over Virtual Knowledge Bases With Open Predicate Relations in preparation.
  3. Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen (2021): Open Question Answering Over Tables and Text in ICLR2021.

Recent papers: 2020

  1. Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen (2020): Evaluating Explanations: How much do explanations from the teacher aid students? in preparation.
  2. Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen (2020): Differentiable Open-Ended Commonsense Reasoning in preparation.
  3. Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen (2020): Faithful Embeddings for Knowledge Base Queries in NeurIPS2020.
  4. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2020): Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge in preparation.
  5. William W. Cohen, Fan Yang, and Kathryn Rivard Mazaitis (2020): TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure in JAIR.
  6. William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler (2020): Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base in ICLR-2020.
  7. Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen (2020): Differentiable Reasoning over a Virtual Knowledge Base in ICLR-2020.
  8. Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu (2020): From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alternations bia the genomic impact transformer in PSB-2020.

Recent papers: 2019

  1. Andrew O. Arnold, William W. Cohen (2019): Instance-based Transfer Learning for Multilingual Deep Retrieval in arxiv.
  2. Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu (2019): PubMedQA: A Dataset for Biomedical Research Question Answering in EMNLP-2019.
  3. Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen (2019): Handling Divergent Reference Texts when Evaluating Table-to-Text Generation in ACL-2019.
  4. William W. Cohen, Haitian Sun, Alex Hofer, Matthew Siegler (2019): Differentiable Representations For Multihop Inference Rules in arxiv.
  5. William W. Cohen, Matthew Siegler, Alex Hofer (2019): Neural Query Language: A Knowledge Base Query Language for Tensorflow in arxiv.
  6. Haitian Sun, Tania Bedrax-Weiss, William W. Cohen (2019): PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text in EMNLP-2019.
  7. Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu (2019): Probing Biomedical Embeddings from Language Models in preparation.

Selected other papers

  1. Zhilin Yang, Jake (Junbo) Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun (2018): GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations in NIPS-2018.
  2. Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning (2018): HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering in EMNLP-2018.
  3. Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, and William W. Cohen (2018): Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text in EMNLP-2018.
  4. Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): Neural Models for Reasoning over Multiple Mentions using Coreference in NAACL-2018.
  5. 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.
  6. 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.
  7. Fan Yang, Zhilin Yang, William W. Cohen (2017): Differentiable Learning of Logical Rules for Knowledge Base Reasoning in NIPS-2017.
  8. William W. Cohen and Fan Yang (2017): TensorLog: Deep Learning Meets Probabilistic Databases in arxiv.org 1707.05390.
  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. Rose Catherine, William W. Cohen (2017): TransNets: Learning to Transform for Recommendation in RecSys-2017.
  11. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
  12. Rose Catherine and William W. Cohen (2016): Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach in RecSys 2016.
  13. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Revisiting Semi-Supervised Learning with Graph Embeddings in ICML-2016.
  14. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2015): Using semantics and statistics to turn data into knowledge in AI Magazine 2015.
  15. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2015): Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach in ACL-2015.
  16. Dana Movshovitz-Attias and William W. Cohen (2015): KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts in ACL-2015.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2014): Structure Learning via Parameter Learning in CIKM-2014.
  22. 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).
  23. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2013): Knowledge Graph Identification in ISWC-2013 (Best Student Paper at ISWC-2013).
  24. Ramnath Balasubramanyan and William W. Cohen (2013): Regularization of Latent Variable Models to Obtain Sparsity in SDM-2013.
  25. Nan Li, William W. Cohen, Kenneth R. Koedinger (2012): Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars in ECML-2012.
  26. Ni Lao, Amar Subramanya, Fernando Pereira and William W. Cohen (2012): Reading The Web with Learned Syntactic-Semantic Inference Rules in EMNLP-CoNLL-2012.
  27. Dana Movshovitz-Attias and William W. Cohen (2012): Bootstrapping Biomedical Ontologies for Scientific Text using NELL in BioNLP-2012.
  28. 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.
  29. Bhavana Dalvi, William W. Cohen, and Jamie Callan (2012): WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction in WSDM-2012.
  30. Ni Lao, Tom Mitchell, and William W. Cohen (2011): Random Walk Inference and Learning in A Large Scale Knowledge Base in EMNLP-2011.
  31. Frank Lin and William W. Cohen (2011): Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data in MLG-2011.
  32. 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.
  33. Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): Node Clustering in Graphs: An Empirical Study in NIPS-2010 Workshop on Networks Across Disciplines.
  34. Einat Minkov and William W. Cohen (2010): Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management in TOIS-2010.
  35. 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.
  36. Frank Lin and William W. Cohen (2010): Power Iteration Clustering in ICML-2010.
  37. Frank Lin and William W. Cohen (2010): A Very Fast Method for Clustering Big Text Datasets in ECAI-2010.
  38. 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.
  39. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
  40. 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.
  41. 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.
  42. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  43. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
  44. Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): Joint Latent Topic Models for Text and Citations in KDD-2008.
  45. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
  46. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.
  47. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
  48. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
  49. William W. Cohen & Einat Minkov (2006): A Graph-Search Framework for Associating Gene Identifiers with Documents in BMC Bioinformatics.
  50. William W. Cohen & Vitor Carvalho (2005): Stacked Sequential Learning in IJCAI-2005.
  51. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
  52. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
  53. Sunita Sarawagi & William W. Cohen (2004): Semi-Markov Conditional Random Fields for Information Extraction in NIPS 2004.
  54. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
  55. Pradeep Ravikumar & William W. Cohen (2004): A Hierarchical Graphical Model for Record Linkage in UAI 2004.
  56. 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.
  57. William W. Cohen (2003): Learning and Discovering Structure in Web Pages in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
  58. 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).
  59. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
  60. 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).
  61. 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.
  62. 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).
  63. William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
  64. William W. Cohen (2000): Automatically extracting features for concept learning from the Web in ICML 2000: 159-166.
  65. 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).
  66. William W. Cohen and Wei Fan (2000): Web-Collaborative Filtering: Recommending Music by Crawling The Web in WWW 2000.
  67. 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).
  68. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  69. William W. Cohen, Rob Schapire, Yoram Singer (1999): Learning to Order Things in J. Artif. Intell. Res. (JAIR) 10: 243-270 (1999).
  70. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  71. William W. Cohen (1996): The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract) in COLT 1996: 29-40.
  72. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  73. William W. Cohen and Yoram Singer (1996): Context-sensitive learning methods for text categorization in SIGIR 1996: 307-315.
  74. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  75. 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]