| 2024 | CVPR | Instruct-Imagen: Image Generation with Multi-modal Instruction. | Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia |
| 2024 | NAACL | SEMQA: Semi-Extractive Multi-Source Question Answering. | Tal Schuster, dm D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler |
| 2024 | NAACL | MEMORY-VQ: Compression for Tractable Internet-Scale Memory. | Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontan, William W. Cohen, Sumit Sanghai, Joshua Ainslie |
| 2023 | AAAI | QA Is the New KR: Question-Answer Pairs as Knowledge Bases. | William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting |
| 2023 | ACL | FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. | Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen |
| 2023 | ACL | Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. | John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2023 | EACL | Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. | Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen |
| 2023 | EACL | WinoDict: Probing language models for in-context word acquisition. | Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen |
| 2023 | ICLR | Re-Imagen: Retrieval-Augmented Text-to-Image Generator. | Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen |
| 2023 | ICLR | Scenario-based Question Answering with Interacting Contextual Properties. | Haitian Sun, William W. Cohen, Ruslan Salakhutdinov |
| 2023 | ICML | Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. | Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen |
| 2022 | AAAI | Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. | Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig |
| 2022 | ACL | ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. | Haitian Sun, William W. Cohen, Ruslan Salakhutdinov |
| 2022 | EMNLP | Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. | Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov |
| 2022 | EMNLP | MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. | Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen |
| 2022 | ICLR | Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. | Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen |
| 2021 | AAAI | What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. | Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen |
| 2021 | EMNLP | MATE: Multi-view Attention for Table Transformer Efficiency. | Julian Martin Eisenschlos, Maharshi Gor, Thomas Mller, William W. Cohen |
| 2021 | ICLR | Open Question Answering over Tables and Text. | Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen |
| 2021 | ICML | Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. | Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen |
| 2021 | NAACL | Differentiable Open-Ended Commonsense Reasoning. | Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen |
| 2021 | NAACL | Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. | Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen |
| 2020 | ICLR | Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. | William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler |
| 2020 | ICLR | Differentiable Reasoning over a Virtual Knowledge Base. | Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen |
| 2020 | PSB | From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer. | Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu |
| 2019 | ACL | Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. | Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen |
| 2019 | EMNLP | PubMedQA: A Dataset for Biomedical Research Question Answering. | Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu |
| 2019 | EMNLP | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. | Haitian Sun, Tania Bedrax-Weiss, William W. Cohen |
| 2019 | PSB | Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. | Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing |
| 2018 | EMNLP | Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. | Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | EMNLP | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. | Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning |
| 2018 | ICLR | TransNets for Review Generation. | Rose Catherine, William W. Cohen |
| 2018 | ICLR | Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. | Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | ICLR | Learning to Organize Knowledge with N-Gram Machines. | Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao |
| 2018 | NAACL | Neural Models for Reasoning over Multiple Mentions Using Coreference. | Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | AAAI | Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. | Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen |
| 2017 | ACL | Gated-Attention Readers for Text Comprehension. | Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ACL | Semi-Supervised QA with Generative Domain-Adaptive Nets. | Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen |
| 2017 | ECIR | Collective Entity Linking in Tweets Over Space and Time. | Wen-Haw Chong, Ee-Peng Lim, William W. Cohen |
| 2017 | ICLR | Words or Characters? Fine-grained Gating for Reading Comprehension. | Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ICLR | Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. | Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen |
| 2017 | IJCAI | Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. | Lidong Bing, William W. Cohen, Bhuwan Dhingra |
| 2017 | RecSys | TransNets: Learning to Transform for Recommendation. | Rose Catherine, William W. Cohen |
| 2017 | RecSys | Explainable Entity-based Recommendations with Knowledge Graphs. | Rose Catherine, Kathryn Mazaitis, Maxine Esknazi, William W. Cohen |
| 2016 | AAAI | Distant IE by Bootstrapping Using Lists and Document Structure. | Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen |
| 2016 | ACL | Tweet2Vec: Character-Based Distributed Representations for Social Media. | Bhuwan Dhingra, Zhong Zhou, Dylan J. Fitzpatrick, Michael Muehl, William W. Cohen |
| 2016 | ICML | Revisiting Semi-Supervised Learning with Graph Embeddings. | Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2016 | IJCAI | Learning First-Order Logic Embeddings via Matrix Factorization. | William Yang Wang, William W. Cohen |
| 2016 | IJCAI | Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. | Zhilin Yang, Jie Tang, William W. Cohen |
| 2016 | NAACL | Scalable Statistical Relational Learning for NLP. | William Yang Wang, William W. Cohen |
| 2016 | RecSys | Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. | Rose Catherine, William W. Cohen |
| 2016 | WSDM | Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies. | Bhavana Dalvi, Aditya Kumar Mishra, William W. Cohen |
| 2015 | AAAI | Never-Ending Learning. | Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling |
| 2015 | ACL | Learning Relational Features with Backward Random Walks. | Ni Lao, Einat Minkov, William W. Cohen |
| 2015 | ACL | KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts. | Dana Movshovitz-Attias, William W. Cohen |
| 2015 | ACL | Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. | William Yang Wang, William W. Cohen |
| 2015 | EMNLP | Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. | Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen |
| 2015 | EMNLP | Learning to Identify the Best Contexts for Knowledge-based WSD. | Evgenia Wasserman Pritsker, William W. Cohen, Einat Minkov |
| 2015 | IJCAI | A Soft Version of Predicate Invention Based on Structured Sparsity. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2015 | WSDM | Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. | Bhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen |
| 2014 | AAAI | ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2014 | AISTATS | Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. | Partha Pratim Talukdar, William W. Cohen |
| 2014 | CIKM | Structure Learning via Parameter Learning. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2014 | EMNLP | Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. | William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen |
| 2014 | ITS | Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. | Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger |
| 2014 | SDM | On Modeling Community Behaviors and Sentiments in Microblogging. | Tuan-Anh Hoang, William W. Cohen, Ee-Peng Lim |
| 2013 | ACL | Natural Language Models for Predicting Programming Comments. | Dana Movshovitz-Attias, William W. Cohen |
| 2013 | AIED | Integrating Perceptual Learning with External World Knowledge in a Simulated Student. | Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger |
| 2013 | CIKM | Classifying entities into an incomplete ontology. | Bhavana Dalvi, William W. Cohen, Jamie Callan |
| 2013 | CIKM | Ontology-aware partitioning for knowledge graph identification. | Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen |
| 2013 | CIKM | Programming with personalized pagerank: a locally groundable first-order probabilistic logic. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2013 | CogSci | General and Efficient Cognitive Model Discovery Using a Simulated Student. | Nan Li, Eliane Stampfer, William W. Cohen, Kenneth R. Koedinger |
| 2013 | EDM | Discovering Student Models with a Clustering Algorithm Using Problem Content. | Nan Li, William W. Cohen, Kenneth R. Koedinger |
| 2013 | NAACL | What's in a Domain? Multi-Domain Learning for Multi-Attribute Data. | Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Ros |
| 2013 | SIGCSE | Creating an educational robot by embedding a learning agent in the physical world (abstract only). | Nan Li, Apoorv Khandelwal, Tung Phan, David S. Touretzky, William W. Cohen, Kenneth R. Koedinger |
| 2013 | SDM | Regularization of Latent Variable Models to Obtain Sparsity. | Ramnath Balasubramanyan, William W. Cohen |
| 2013 | SDM | Very Fast Similarity Queries on Semi-Structured Data from the Web. | William W. Cohen, Bhavana Bharat Dalvi |
| 2012 | CIKM | Community-based classification of noun phrases in twitter. | Freddy Chong Tat Chua, William W. Cohen, Justin Betteridge, Ee-Peng Lim |
| 2012 | CIKM | Learning similarity measures based on random walks. | William W. Cohen |
| 2012 | CogSci | Shallow learning as a pathway for successful learning both for tutors and tutees. | Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, William W. Cohen, Gabriel Stylianides, Kenneth R. Koedinger |
| 2012 | ECAI | Creating Features from a Learned Grammar in a Simulated Student. | Nan Li, Abraham Schreiber, William W. Cohen, Kenneth R. Koedinger |
| 2012 | EMNLP | Multi-Domain Learning: When Do Domains Matter? | Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Ros |
| 2012 | EMNLP | Reading The Web with Learned Syntactic-Semantic Inference Rules. | Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen |
| 2012 | ICDM | A General and Scalable Approach to Mixed Membership Clustering. | Frank Lin, William W. Cohen |
| 2012 | ICWSM | Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? | Ramnath Balasubramanyan, William W. Cohen, Douglas Pierce, David P. Redlawsk |
| 2012 | ITS | Problem Order Implications for Learning Transfer. | Nan Li, William W. Cohen, Kenneth R. Koedinger |
| 2012 | ITS | Efficient Cross-Domain Learning of Complex Skills. | Nan Li, William W. Cohen, Kenneth R. Koedinger |
| 2012 | NAACL | Collectively Representing Semi-Structured Data from the Web. | Bhavana Dalvi, William W. Cohen, Jamie Callan |
| 2012 | WSDM | WebSets: extracting sets of entities from the web using unsupervised information extraction. | Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan |
| 2011 | AIED | Learning by Teaching SimStudent - Interactive Event. | Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger |
| 2011 | AIED | Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. | Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger |
| 2011 | EDM | A Machine Learning Approach for Automatic Student Model Discovery. | Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda |
| 2011 | EMNLP | Structured Databases of Named Entities from Bayesian Nonparametrics. | Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, Eric P. Xing |
| 2011 | EMNLP | Random Walk Inference and Learning in A Large Scale Knowledge Base. | Ni Lao, Tom M. Mitchell, William W. Cohen |
| 2011 | SDM | Block-LDA: Jointly modeling entity-annotated text and entity-entity links. | Ramnath Balasubramanyan, William W. Cohen |
| 2010 | AAAI | Integrating Transfer Learning in Synthetic Student. | Nan Li, William W. Cohen, Kenneth R. Koedinger |
| 2010 | ECAI | A Very Fast Method for Clustering Big Text Datasets. | Frank Lin, William W. Cohen |
| 2010 | ICML | Power Iteration Clustering. | Frank Lin, William W. Cohen |
| 2010 | ITS | A Computational Model of Accelerated Future Learning through Feature Recognition. | Nan Li, William W. Cohen, Kenneth R. Koedinger |
| 2010 | ITS | Learning by Teaching SimStudent. | Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger |
| 2010 | ITS | Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. | Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger |
| 2010 | KDD | Fast query execution for retrieval models based on path-constrained random walks. | Ni Lao, William W. Cohen |
| 2009 | ACL | Automatic Set Instance Extraction using the Web. | Richard C. Wang, William W. Cohen |
| 2009 | EMNLP | Character-level Analysis of Semi-Structured Documents for Set Expansion. | Richard C. Wang, William W. Cohen |
| 2009 | ICWSM | Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. | Andrew Arnold, William W. Cohen |
| 2009 | ICWSM | From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. | Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith |
| 2009 | KDD | Structured correspondence topic models for mining captioned figures in biological literature. | Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy |
| 2009 | NAACL | Predicting Response to Political Blog Posts with Topic Models. | Tae Yano, William W. Cohen, Noah A. Smith |
| 2008 | ACL | Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. | Andrew O. Arnold, Ramesh Nallapati, William W. Cohen |
| 2008 | CIKM | Intra-document structural frequency features for semi-supervised domain adaptation. | Andrew Arnold, William W. Cohen |
| 2008 | CIKM | Suppressing outliers in pairwise preference ranking. | Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell |
| 2008 | ECIR | Ranking Users for Intelligent Message Addressing. | Vitor R. Carvalho, William W. Cohen |
| 2008 | EMNLP | Learning Graph Walk Based Similarity Measures for Parsed Text. | Einat Minkov, William W. Cohen |
| 2008 | EMNLP | Automatic Set Expansion for List Question Answering. | Richard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg |
| 2008 | ICDM | Iterative Set Expansion of Named Entities Using the Web. | Richard C. Wang, William W. Cohen |
| 2008 | ICWSM | The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. | Frank Lin, William W. Cohen |
| 2008 | ICWSM | Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. | Ramesh Nallapati, William W. Cohen |
| 2008 | ICWSM | Recovering Implicit Thread Structure in Newsgroup Style Conversations. | Yi-Chia Wang, Mahesh Joshi, William W. Cohen, Carolyn P. Ros |
| 2008 | ISMB | Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. | Lus Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy |
| 2008 | ITS | Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. | Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger |
| 2008 | KDD | Joint latent topic models for text and citations. | Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen |
| 2007 | AIED | Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. | Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger |
| 2007 | ICDM | A Comparative Study of Methods for Transductive Transfer Learning. | Andrew O. Arnold, Ramesh Nallapati, William W. Cohen |
| 2007 | ICDM | Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. | Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing |
| 2007 | ICDM | Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. | Ramesh Nallapati, William W. Cohen, John D. Lafferty |
| 2007 | ICDM | Language-Independent Set Expansion of Named Entities Using the Web. | Richard C. Wang, William W. Cohen |
| 2007 | ICMLA | Machine Learning for Information Management: Some Promising Directions. | William W. Cohen |
| 2007 | PSB | A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. | Zhenzhen Kou, William W. Cohen, Robert F. Murphy |
| 2007 | SDM | Preventing Information Leaks in Email. | Vitor R. Carvalho, William W. Cohen |
| 2007 | SDM | Stacked Graphical Models for Efficient Inference in Markov Random Fields. | Zhenzhen Kou, William W. Cohen |
| 2006 | KDD | Single-pass online learning: performance, voting schemes and online feature selection. | Vitor R. Carvalho, William W. Cohen |
| 2006 | NAACL | NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. | Einat Minkov, Richard C. Wang, Anthony Tomasic, William W. Cohen |
| 2006 | SIGIR | Contextual search and name disambiguation in email using graphs. | Einat Minkov, William W. Cohen, Andrew Y. Ng |
| 2005 | AIED | Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. | Carolyn Penstein Ros, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan |
| 2005 | IJCAI | Stacked Sequential Learning. | William W. Cohen, Vitor Rocha de Carvalho |
| 2005 | IJCAI | Learning to Understand Web Site Update Requests. | William W. Cohen, Einat Minkov, Anthony Tomasic |
| 2005 | ISMB | High-recall protein entity recognition using a dictionary. | Zhenzhen Kou, William W. Cohen, Robert F. Murphy |
| 2005 | NAACL | Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. | Einat Minkov, Richard C. Wang, William W. Cohen |
| 2005 | SIGIR | On the collective classification of email "speech acts". | Vitor Rocha de Carvalho, William W. Cohen |
| 2004 | EMNLP | Learning to Classify Email into "Speech Acts". | William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell |
| 2004 | KDD | Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. | William W. Cohen, Sunita Sarawagi |
| 2004 | UAI | A Hierarchical Graphical Model for Record Linkage. | Pradeep Ravikumar, William W. Cohen |
| 2003 | IAAI | Infrastructure Components for Large-Scale Information Extraction Systems. | William W. Cohen |
| 2003 | IJCAI | A Comparison of String Distance Metrics for Name-Matching Tasks. | William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg |
| 2003 | KDD | Understanding captions in biomedical publications. | William W. Cohen, Richard C. Wang, Robert F. Murphy |
| 2003 | KDD | Extracting information from text and images for location proteomics. | Zhenzhen Kou, William W. Cohen, Robert F. Murphy |
| 2003 | SIGIR | Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. | ChengXiang Zhai, William W. Cohen, John D. Lafferty |
| 2002 | KDD | Learning to match and cluster large high-dimensional data sets for data integration. | William W. Cohen, Jacob Richman |
| 2002 | WWW | A flexible learning system for wrapping tables and lists in HTML documents. | William W. Cohen, Matthew Hurst, Lee S. Jensen |
| 2000 | ALT | Extracting Information from the Web for Concept Learning and Collaborative Filtering. | William W. Cohen |
| 2000 | ICML | Automatically Extracting Features for Concept Learning from the Web. | William W. Cohen |
| 2000 | KDD | Hardening soft information sources. | William W. Cohen, Henry A. Kautz, David A. McAllester |
| 1999 | AAAI | Recognizing Structure in Web Pages using Similarity Queries. | William W. Cohen |
| 1999 | AAAI | A Simple, Fast, and Effictive Rule Learner. | William W. Cohen, Yoram Singer |
| 1999 | SIGIR | A Demonstration of WHIRL (demonstration abstract). | William W. Cohen |
| 1998 | AAAI | Recommendation as Classification: Using Social and Content-Based Information in Recommendation. | Chumki Basu, Haym Hirsh, William W. Cohen |
| 1998 | KDD | Joins that Generalize: Text Classification Using WHIRL. | William W. Cohen, Haym Hirsh |
| 1998 | SIGMOD | Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. | William W. Cohen |
| 1998 | SIGMOD | Providing Database-like Access to the Web Using Queries Based on Textual Similarity. | William W. Cohen |
| 1997 | AAAI | Transferring and Retraining Learned Information Filters. | William W. Cohen, Daniel Kudenko |
| 1997 | ICML | A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. | William W. Cohen, Premkumar T. Devanbu |
| 1996 | AAAI | Learning Trees and Rules with Set-Valued Features. | William W. Cohen |
| 1996 | COLT | The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). | William W. Cohen |
| 1996 | SIGIR | Context-sensitive Learning Methods for Text Categorization. | William W. Cohen, Yoram Singer |
| 1995 | COLT | Corrigendum for "Learnability of Description Logics". | William W. Cohen, Haym Hirsh |
| 1995 | ICML | Fast Effective Rule Induction. | William W. Cohen |
| 1995 | ICML | Text Categorization and Relational Learning. | William W. Cohen |
| 1994 | AAAI | Recovering Software Specifications with Inductive Logic Programming. | William W. Cohen |
| 1994 | AAAI | Pac-Learning Nondeterminate Clauses. | William W. Cohen |
| 1994 | KR | Learning the Classic Description Logic: Theoretical and Experimental Results. | William W. Cohen, Haym Hirsh |
| 1993 | AAAI | Cryptographic Limitations on Learning One-Clause Logic Programs. | William W. Cohen |
| 1993 | AAAI | Pac-Learning a Restricted Class of Recursive Logic Programs. | William W. Cohen |
| 1993 | IJCAI | Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. | William W. Cohen |
| 1992 | AAAI | Computing Least Common Subsumers in Description Logics. | William W. Cohen, Alexander Borgida, Haym Hirsh |
| 1992 | COLT | Learnability of Description Logics. | William W. Cohen, Haym Hirsh |
| 1991 | ICML | The Generality of Overgenerality. | William W. Cohen |
| 1990 | AAAI | Learning from Textbook Knowledge: A Case Study. | William W. Cohen |
| 1990 | ICML | An Analysis of Representation Shift in Concept Learning. | William W. Cohen |
| 1990 | ICML | Learning Approximate Control Rules of High Utility. | William W. Cohen |
| 1988 | ICML | Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. | William W. Cohen |