William W. Cohen's Papers: Applications

1. Cassandra A. Cohen, William W. Cohen (2024): Watch Your Steps: Observable and Modular Chains of Thought in preparation.
2. Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson and William W. Cohen (2024): Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation in NeurIPS-2024.
3. Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki (2024): ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights in NeurIPS-2024.
4. R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson and William W. Cohen (2024): Bayesian Prediction-Powered Inference in progress.
5. Haitian Sun, William W. Cohen, Ruslan Salakhutdinov (2021): ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers in ACL 2022.
   
   • A novel dataset with (1) long context documents containing information that is related in logically complex ways; (2) multi-hop questions that require compositional logical reasoning. Intended as a more realistic version of ShARC, a QA task considered in 'End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents'
6. Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen (2021): Mention Memory: incorporating textual knowledge into Transformers through entity mention attention in ICLR 2021.
   
   • Similar to the Entities-as-Experts model, but uses a much larger memory of entity mentions, which allows the model to potentially provide meaningful provenance for information. The model, called TOME, outperforms Entities-as-Experts on several tasks, and required some non-trivial technical innovations relating to memory pre-training and efficient retrieval.
7. Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha Talukdar (2021): Multilingual Fact Linking in AKBC-2021.
8. Julian Martin Eisenschlos, Maharshi Gor, Thomas Muller, William W. Cohen (2021): MATE: Multi-view Attention for Table Transformer Efficiency in EMNLP-2021.
9. Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen (2021): Time-Aware Language Models as Temporal Knowledge Bases in preparation.
10. Haitian Sun, William W. Cohen, Ruslan Salakhutdinov (2021): End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents in preparation.
    
    • Adapts many of the ideas used for multihop KBQA to a new task - answering multihop questions over a large document. Retrieval steps in this "DocHopper" system retrieve passages of a document, and the retrieved items are combined with a question neurally: i.e., rather than appending text to a question and re-encoding that discrete object, what is retrieved is a vector summary of the document, which is mixed with the previous question encoding. This is fast, fully differentiable, allows retrieval of large document subsections, and gets a new SOTA on three datasets.
11. 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.
12. Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen (2021): Reasoning Over Virtual Knowledge Bases With Open Predicate Relations in ICML2021.
    
    • Modifies the FILM model by using a virtual KB of small text passages containing pairs of entities. This required adding a Matching-the-Blanks pretraining phase, but got strong results on a number of QA-from-corpora tasks.
13. Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen (2021): Open Question Answering Over Tables and Text in ICLR-2021.
    
    • Answering open QA multi-hop questions over tables and text with a clever ``early fusion'' idea, which proposes and indexes likely reasoning chains, and uses large-document Transformers to merge these noisy evidence chains.
14. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2021): Adaptable and Interpretable Neural Memory Over Symbolic Knowledge in NAACL-2021.
    
    • Most recent paper on Fact-Injected Language Model (FILM), which includes an Entities-as-Experts style memory of neural entity encodings, plus a second "fact memory" of KG triples. FILM has good results on KBQA tasks, and allows one to use an edited KB with retraining.
15. Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen (2020): Differentiable Open-Ended Commonsense Reasoning in NAACL-2021.
    
    • Extends DrKIT's virtual KB to a corpus of documents of common-sense statements ("facts"). In DrFact, entities are replaced by noisy and ambiguous concepts, and navigation is between documents with overlapping sets of mentions. Also introduces new "open" tasks for common-sense QA.
16. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2020): Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge in arxiv.
    
    • Earlier draft of the NAACL paper on FILM (Fact-Injected LM).
17. 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.
18. Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu (2019): PubMedQA: A Dataset for Biomedical Research Question Answering in EMNLP-2019.
19. Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu (2019): Probing Biomedical Embeddings from Language Models in NAACL-2019.
20. Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen and Eric P. Xing (2019): Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning in Biocomputing.
21. Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): Neural Models for Reasoning over Multiple Mentions using Coreference in NAACL-2018.
22. Vidhisha Balachandran and Dheeraj Rajagopal and , Rose Catherine Kanjirathinkal and William W. Cohen (2018): Learning to Define Terms in the Software Domain in W-NUT 2018.
23. 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.
24. 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.
25. Fan Yang, Zhilin Yang, William W. Cohen (2017): Differentiable Learning of Logical Rules for Knowledge Base Reasoning in NIPS-2017.
26. Zihang Dai, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Good Semi-supervised Learning that Requires a Bad GAN in NIPS-2017.
27. Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, William W. Cohen (2017): Explainable Entity-based Recommendations with Knowledge Graphs (poster paper) in RecSys-2017.
28. Bhuwan Dhingra, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Linguistic Knowledge as Memory for Recurrent Neural Networks in arxiv 1703.02620.
29. Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, and William W. Cohen (2017): A Comparative Study of Word Embeddings for Reading Comprehension in arxiv 1703.00993.
30. Rose Catherine, William W. Cohen (2017): TransNets: Learning to Transform for Recommendation in RecSys-2017.
31. 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.
32. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
33. Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen (2017): Semi-Supervised QA with Generative Domain-Adaptive Nets in ACL-2017.
34. 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.
35. Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen (2016): Encode, Review, and Decode: Reviewer Module for Caption Generation in NIPS-2016.
36. 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.
37. 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).
38. Zhilin Yang, Jei Tang, and William W. Cohen (2016): Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs in IJCAI-2016.
39. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Revisiting Semi-Supervised Learning with Graph Embeddings in ICML-2016.
40. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Multi-Task Cross-Lingual Sequence Tagging from Scratch in arxiv 1603.06270.
41. Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen (2016): Distant IE by Bootstrapping Using Lists and Document Structure in AAAI-2016.
42. Evgenia Wasserman Pritsker, William Cohen and Einat Minkov (2015): Learning to Identify the Best Contexts for Knowledge-Based WSD in EMNLP-2015.
43. Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2015): Using semantics and statistics to turn data into knowledge in AI Magazine 2015.
44. Ni Lao, Einat Minkov, and William W. Cohen (2015): Learning Relational Features with Backward Random Walks in ACL-2015.
45. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2015): Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach in ACL-2015.
46. Dana Movshovitz-Attias and William W. Cohen (2015): KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts in ACL-2015.
47. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2015): A Soft Version of Predicate Invention Based on Structured Sparsity in IJCAI-2015.
48. 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.
49. Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger (2015): Integrating representation learning and skill learning in a human-like intelligent agent in Artificial Intelligence, 2015, pp. 67-91.
50. Kathryn Mazaitis, Richard C. Wang, Frank Lin, Bhavana Dalvi, Jakob Bauer, William W. Cohen (2014): A Tale of Two Entity Linking and Discovery Systems in KBP-TAC 2014.
51. Tuan-Ahn Hoang, William W. Cohen, Ee-Peng Lim, Doug Pierce, David Redlawsk (2013): Politics, Sharing and Emotion in Microblogs in ANOMAN-2013.
52. Dana Movshovitz-Attias and William W. Cohen (2013): Natural Language Models for Predicting Programming Comments in ACL-2013 (short paper).
53. Mahesh Joshi, Mark Dredze, William Cohen and Carolyn Rose (2012): Multi-Domain Learning: When Do Domains Matter? in EMNLP-CoNLL-2012.
54. 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.
55. 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.
56. 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.
57. 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.
58. L. P. Coelho, A. Ahmed, A. Arnold, J. Kangas, A.-S. Sheikh, E. Xing, W. Cohen, and R. F. Murphy (2010): Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature in Lecture Notes in Bioinformatics.
59. 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.
60. Vitor Carvalho, Ramnath Balasubramanyan and William W. Cohen (2009): Information Leaks and Suggestions: A Case Study using Mozilla Thunderbird in CEAS-2009.
61. Richard Wang and William W. Cohen (2009): Character-level Analysis of Semi-Structured Documents for Set Expansion in EMNLP 2009.
62. Richard Wang and William W. Cohen (2009): Automatic Set Instance Extraction using the Web in ACL-IJNLP 2009.
63. 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.
64. Amr Ahmed, Eric P. Xing, William W. Cohen, and Robert F. Murphy (2009): Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature in KDD-2009.
65. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
66. 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).
67. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in WASA-2009.
68. Andrew Arnold and William W. Cohen (2009): Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection in ICWSM-2009 (poster).
69. Richard Wang and William W. Cohen (2008): Iterative Set Expansion of Named Entities Using the Web in ICDM-2008.
70. Andrew Arnold and William W. Cohen (2008): Intra-document Structural Frequency Features for Semi-Supervised Domain Adaptation in CIKM-2008.
71. Vitor Carvalho, Jonathan L. Elsas, William W. Cohen, and Jaime G. Carbonell (2008): Suppressing Outliers in Pairwise Preference Ranking in CIKM-2008.
72. Richard Wang, Nico Schlaefer, William W. Cohen, and Eric Nyberg (2008): Automatic Set Expansion for List Question Answering in EMNLP-2008.
73. Andrew Arnold, Ramesh Nallapati and William W. Cohen (2008): Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition in ACL-2008.
74. Ramnath Balasubramanyan, Vitor Carvalho, and William W. Cohen (2008): CutOnce - Recipient Recommendation and Leak Detection in Action in AAAI-2008 Workshop on Enhanced Messaging.
75. Einat Minkov, Ramnath Balasubramanyan, and William W. Cohen (2008): Activity-centric Search in Email in AAAI-2008 Workshop on Enhanced Messaging.
76. Ramesh Nallapati and William W. Cohen (2008): Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs in ICWSM-2008.
77. Yi-Chia Wang, Mahesh Joshi, William Cohen, and Carolyn Rose (2008): Recovering Implicit Thread Structure in Newsgroup Style Conversations in ICWSM-2008.
78. 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).
79. 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).
80. Vitor Carvalho and William W. Cohen (2008): Ranking Users for Intelligent Message Addressing in ECIR-2008.
81. Richard Wang and William Cohen (2007): Language-Independent Set Expansion of Named Entities using the Web in ICDM-2007.
82. Vitor Carvalho and William Cohen (2007): Recommending Recipients in the Enron Corpus in limbo.
83. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Predicting students performance with a SimStudent that learns cognitive skills from observation in AIED-2007.
84. Noboru Matsuda, William Cohen, Jonathan Sewall, Gustavo Lacerda and Ken Koedinger (2007): Evaluating a simulated student using real students data for training and testing in UM-2007.
85. Juchang Hua, Orhan Ayasli, William Cohen and Robert Murphy (2007): Identifying Fluorescence Microscope Images in Online Journal Publications using Both Image and Text Features in ISBI-2007.
86. Vitor Carvalho and William W. Cohen (2007): Preventing Information Leaks in Email in SDM-2007.
87. Zhenzhen Kou and William W. Cohen (2007): Stacked Graphical Models for Efficient Inference in Markov Random Fields in SDM-2007.
88. 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.
89. Richard C. Wang, Anthony Tomasic, Robert E. Frederking, William W. Cohen (2006): Learning to Extract Gene-Protein Names from Weakly-Labeled Text in CMU SCS Technical Report Series (CMU-LTI-08-04).
90. Noboru Matsuda, William Cohen & Ken Koedinger (2006): What characterizes a better demonstration for cognitive modeling by demonstration? in CMU SCS Technical Report Series (CMU-ML-06-106).
91. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger (2006): Applying Machine Learning to Cognitive Modeling for Cognitive Tutors in CMU SCS Technical Report Series (CMU-ML-06-105).
92. Einat Minkov and William W. Cohen (2006): An Email and Meeting Assistant using Graph Walks in CEAS-2006.
93. Einat Minkov, Andrew Ng and William W. Cohen (2006): Contextual Search and Name Disambiguation in Email using Graphs in SIGIR-2006.
94. Einat Minkov, Richard C. Wang, and William W. Cohen (2005): Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text in EMNLP/HLT-2005.
95. William W. Cohen, Einat Minkov & Anthony Tomasic (2005): Learning to Understand Web Site Update Requests in IJCAI-2005.
96. Vitor Carvalho & William W. Cohen (2005): On the Collective Classification of Email Speech Acts in SIGIR 2005.
97. Zhenzhen Kou, William W. Cohen & Robert F. Murphy (2005): High-Recall Protein Entity Recognition Using a Dictionary in ISMB-2005.
98. Carolyn Rose, Pinar Donmez, G. Gweon, A. Knight, B. Junker, W. Cohen, K. Koedinger, N. Hefferman (2005): Automatic and Semi-Automatic Skill Coding with a View Towards Supporting On-Line Assessment in AIED-2005.
99. Noboru Matsuda, William Cohen & Ken Koedinger (2005): An Intelligent Authoring System with Programming by Demonstration. in Proceedings of the Japan National Conference on Information and Systems in Education.
100. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Building Cognitive Tutors with Programming by Demonstration in ILP-2005 (late-breaking paper).
101. Noboru Matsuda, William Cohen & Ken Koedinger (2005): Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors in AAAI Workshop on Human Comprehensible Machine Learning.
102. Einat Minkov, Richard Wang & William Cohen (2004): Extracting Personal Names from Emails: Applying Named Entity Recognition to Informal Text in NAACL-2005.
103. Robert F. Murphy, Zhenzhen Kou, Juchang Hua, Matthew Joffe, William W. Cohen (2004): Extracting and Structuring Subcellular Location Information from On-line Journal Articles: The Subcellular Location Image Finder in KSCE-2004.
104. Anthony Tomasic, William W. Cohen, Einat Minkov (2004): Learning to Navigate Web Forms in IIWeb 2004.
105. William W. Cohen, Vitor Carvalho & Tom Mitchell (2004): Learning to Classify Email into "Speech Acts" in EMNLP 2004.
106. Vitor Carvalho & William W. Cohen (2004): Learning to Extract Signature and Reply Lines from Email in CEAS 2004.
107. Yifen Huang, Dinesh Govindaraju, Tom Mitchell, Vitor Carvalho & William W. Cohen (2004): Inferring Ongoing Activities of Workstation Users by Clustering Email in CEAS 2004.
108. William W. Cohen, Zhenzhen Kou & Robert F. Murphy (2003): Extracting Information from Text and Images for Location Proteomics in BIOKDD 2003: 2-9.
109. William W. Cohen, Richard Wang & Robert Murphy (2003): Understanding Captions in Biomedical Publications in KDD 2003: 499-504.
110. William W. Cohen (2003): Infrastructure Components for Large-Scale Information Extraction Systems in IAAI 2003: 71-78.
111. William W. Cohen (2002): Improving A Page Classifier with Anchor Extraction and Link Analysis in NIPS 2002.
112. 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.
113. 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.
114. Lee S. Jensen & William W. Cohen (2001): Grouping Extracted Fields in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining.
115. 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.
116. William W. Cohen (2001): Issues in Extracting Information from the Web (Extended Abstract) in IWPT 2001.
117. William W. Cohen (1999): What Can We Learn from the Web in ICML 1999.
118. William W. Cohen & Prem Devanbu (2000): Automatically Exploring Hypotheses about Fault Prediction: a Comparative Study of Inductive Logic Programming Methods in International Journal of Software Engineering and Knowledge Engineering 9(5): 519-546 (1999).
119. William W. Cohen and Prem Devanbu (1997): A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction in ICML 1997: 66-74.
120. William W. Cohen and Daniel Kudenko (1997): Transferring and Retraining Learned Information Filters in AAAI/IAAI 1997: 583-590.
121. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
122. William W. Cohen and Yoram Singer (1996): Learning to Query the Web in AAAI Workshop on Internet-Based Information Access Systems 1996.
123. William W. Cohen (1995): Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors in Autom. Softw. Eng. 2(2): 107-129 (1995).
124. William W. Cohen (1994): Recovering Software Specifications with Inductive Logic Programming in AAAI 1994: 142-148.
125. G. Miller, D. Rosenthal, W. Cohen, and M. Johnston (1987): Expert systems tools for hubble space telescope scheduling in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.
126. T. Hornick, W. Cohen, and G. Miller (1987): A natural language query system for hubble space telescope proposal selection in Proc. of the Goddard Conference on Space Applications of Artificial Intelligence and Robotics.
127. K. Bartlett, W. Cohen, Aart De Geus, and G. Hachtel (1986): Synthesis and optimization of multi-level logic under timing constraints in Proc. of the IEEE International Conference on Computer-Aided Design.
128. A. De Geus and W. Cohen (1985): Optimization of combinational logic using a rule-based expert system in IEEE Design and Test of Computers.
129. W. Cohen, K. Bartlett, and A. De Geus (1985): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.
130. W. Cohen, K. Bartlett, and A. De Geus (1984): Impact of metarules in a rule-based expert system for gate level optimization in Proc. of the IEEE Int'l Symp. on Circuits and Systems.
131. Karl Garrison, David Gregory, William W. Cohen & Aart De Geus, (1984): Automatic Area and Performance Optimization of Combinatorial Logic in Proc. of the IEEE International Conference on Computer-Aided Design.

[Selected papers| By topic: GNAT System| Retrieval Augmented LMs| Applications| Collaborative Filtering| Intelligent Tutoring| Explanation-Based Learning| Formal Results| Learning in Graphs| Inductive Logic Programming| Neural Knowledge Representation| Topic Modeling| Matching/Data Integration| Deep Learning| Prediction-powered inference| Rule Learning| Text Categorization| Info Extraction/Reading/QA| By year: All papers]