William W. Cohen

380 papers A* 81A 38B 14C 2Misc 3Journal 143Unranked 96

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Localizing and Correcting Errors for LLM-based Planners. CoRR Aditya Kumar Mishra, William W. Cohen
2026	J	`jnl`	Multiple-Prediction-Powered Inference. CoRR Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates, William W. Cohen, Jacob Eisenstein, Amir Globerson, Adam Fisch
2025	J	`jnl`	CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. CoRR Jixuan Leng, Chengsong Huang, Langlin Huang, Bill Yuchen Lin, William W. Cohen, Haohan Wang, Jiaxin Huang
2025	J	`jnl`	Semi-structured LLM Reasoners Can Be Rigorously Audited. CoRR Jixuan Leng, Cassandra A. Cohen, Zhixian Zhang, Chenyan Xiong, William W. Cohen
2024	J	`jnl`	Bayesian Prediction-Powered Inference. CoRR R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen
2024	J	`jnl`	ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. CoRR Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024	A*	`conf`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 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	J	`jnl`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR 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	—	`conf`	MEMORY-VQ: Compression for Tractable Internet-Scale Memory. NAACL (Short Papers) Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2024	—	`conf`	SEMQA: Semi-Extractive Multi-Source Question Answering. NAACL-HLT Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
2024	A*	`conf`	Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models. NeurIPS Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024	J	`jnl`	Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. CoRR Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024	A*	`conf`	VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought. NeurIPS Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024	J	`jnl`	Watch Your Steps: Observable and Modular Chains of Thought. CoRR Cassandra A. Cohen, William W. Cohen
2023	J	`jnl`	Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions. CoRR Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2023	A	`conf`	Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
2023	—	`conf`	Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations. CoRR Chung-Ching Chang, William W. Cohen, Yun-Hsuan Sung
2023	—	`conf`	FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. ACL (Findings) Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
2023	J	`jnl`	GLIMMER: generalized late-interaction memory reranker. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie
2023	J	`jnl`	MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
2023	A*	`conf`	Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. ICML Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
2023	J	`jnl`	Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
2023	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. Trans. Mach. Learn. Res. Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2023	A*	`conf`	QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2023	A*	`conf`	Re-Imagen: Retrieval-Augmented Text-to-Image Generator. ICLR Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
2023	J	`jnl`	SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
2023	A*	`conf`	Scenario-based Question Answering with Interacting Contextual Properties. ICLR Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2023	A*	`conf`	Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
2023	J	`jnl`	Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
2023	J	`jnl`	Trusted Source Alignment in Large Language Models. CoRR Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews, Edward Clifford, Yennie Jun, William W. Cohen, Simon Baumgartner
2023	A	`conf`	WinoDict: Probing language models for in-context word acquisition. EACL Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
2022	J	`jnl`	Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
2022	J	`jnl`	Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
2022	—	`conf`	ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. ACL (1) Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2022	A*	`conf`	Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
2022	J	`jnl`	Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
2022	J	`jnl`	Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2022	A*	`conf`	Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
2022	J	`jnl`	FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. CoRR Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
2022	A*	`conf`	Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. ICLR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
2022	A*	`conf`	MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. EMNLP Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
2022	J	`jnl`	MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. CoRR Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
2022	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2022	J	`jnl`	QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2022	J	`jnl`	Re-Imagen: Retrieval-Augmented Text-to-Image Generator. CoRR Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
2022	J	`jnl`	Reasoning over Logically Interacted Conditions for Question Answering. CoRR Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2022	J	`jnl`	Time-Aware Language Models as Temporal Knowledge Bases. Trans. Assoc. Comput. Linguistics Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022	J	`jnl`	WinoDict: Probing language models for in-context word acquisition. CoRR Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen
2021	—	`conf`	Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. NAACL-HLT Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen
2021	—	`ch.`	Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. Neuro-Symbolic Artificial Intelligence Haitian Sun, Pat Verga, William W. Cohen
2021	J	`jnl`	ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. CoRR Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2021	—	`conf`	Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
2021	J	`jnl`	End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents. CoRR Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
2021	J	`jnl`	Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
2021	—	`conf`	Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen
2021	—	`conf`	MATE: Multi-view Attention for Table Transformer Efficiency. EMNLP (1) Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen
2021	J	`jnl`	MATE: Multi-view Attention for Table Transformer Efficiency. CoRR Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen
2021	J	`jnl`	Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. CoRR Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
2021	—	`conf`	Multilingual Fact Linking. AKBC Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
2021	J	`jnl`	Multilingual Fact Linking. CoRR Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
2021	A*	`conf`	Open Question Answering over Tables and Text. ICLR Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
2021	A*	`conf`	Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. ICML Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen
2021	J	`jnl`	Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. CoRR Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen
2021	J	`jnl`	Time-Aware Language Models as Temporal Knowledge Bases. CoRR Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
2021	A*	`conf`	What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. AAAI Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen
2021	J	`jnl`	What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult. CoRR Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen
2020	J	`jnl`	Differentiable Open-Ended Commonsense Reasoning. CoRR Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
2020	A*	`conf`	Differentiable Reasoning over a Virtual Knowledge Base. ICLR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	J	`jnl`	Differentiable Reasoning over a Virtual Knowledge Base. CoRR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	J	`jnl`	Evaluating Explanations: How much do explanations from the teacher aid students? CoRR Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2020	J	`jnl`	Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. CoRR Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen
2020	A*	`conf`	Faithful Embeddings for Knowledge Base Queries. NeurIPS Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
2020	Misc	`conf`	From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer. PSB Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu
2020	J	`jnl`	Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. CoRR Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
2020	J	`jnl`	Open Question Answering over Tables and Text. CoRR Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
2020	A*	`conf`	Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. ICLR William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler
2020	J	`jnl`	Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. CoRR William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler
2020	J	`jnl`	TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure. J. Artif. Intell. Res. William W. Cohen, Fan Yang, Kathryn Mazaitis
2019	Misc	`conf`	Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
2019	J	`jnl`	Differentiable Representations For Multihop Inference Rules. CoRR William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler
2019	A*	`conf`	Game Design for Eliciting Distinguishable Behavior. NeurIPS Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen
2019	J	`jnl`	Game Design for Eliciting Distinguishable Behavior. CoRR Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell
2019	—	`conf`	Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
2019	J	`jnl`	Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
2019	J	`jnl`	Incremental Reading for Question Answering. CoRR Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen
2019	J	`jnl`	Instance-based Transfer Learning for Multilingual Deep Retrieval. CoRR Andrew O. Arnold, William W. Cohen
2019	J	`jnl`	Neural Query Language: A Knowledge Base Query Language for Tensorflow. CoRR William W. Cohen, Matthew Siegler, R. Alex Hofer
2019	J	`jnl`	Probing Biomedical Embeddings from Language Models. CoRR Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu
2019	—	`conf`	PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
2019	J	`jnl`	PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
2019	—	`conf`	PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. EMNLP/IJCNLP (1) Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
2019	J	`jnl`	PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. CoRR Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
2018	—	`conf`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2018	A*	`conf`	GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	J	`jnl`	GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	A*	`conf`	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning
2018	J	`jnl`	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning
2018	—	`conf`	Learning to Define Terms in the Software Domain. NUT@EMNLP Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen
2018	—	`conf`	Learning to Organize Knowledge with N-Gram Machines. ICLR (Workshop) Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao
2018	—	`conf`	Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2018	J	`jnl`	Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt 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
2018	A*	`conf`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2018	J	`jnl`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. CoRR Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2018	A*	`conf`	Semi-Supervised Learning with Declaratively Specified Entropy Constraints. NeurIPS Haitian Sun, William W. Cohen, Lidong Bing
2018	J	`jnl`	Semi-Supervised Learning with Declaratively Specified Entropy Constraints. CoRR Haitian Sun, William W. Cohen, Lidong Bing
2018	—	`conf`	TransNets for Review Generation. ICLR (Workshop) Rose Catherine, William W. Cohen
2017	J	`jnl`	A Comparative Study of Word Embeddings for Reading Comprehension. CoRR Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen
2017	A*	`conf`	Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2017	J	`jnl`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2017	A	`conf`	Collective Entity Linking in Tweets Over Space and Time. ECIR Wen-Haw Chong, Ee-Peng Lim, William W. Cohen
2017	J	`jnl`	Differentiable Learning of Logical Rules for Knowledge Base Completion. CoRR Fan Yang, Zhilin Yang, William W. Cohen
2017	—	`conf`	Differentiable Learning of Logical Rules for Knowledge Base Reasoning. NIPS Fan Yang, Zhilin Yang, William W. Cohen
2017	—	`conf`	Explainable Entity-based Recommendations with Knowledge Graphs. RecSys Posters Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
2017	J	`jnl`	Explainable Entity-based Recommendations with Knowledge Graphs. CoRR Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
2017	—	`conf`	Gated-Attention Readers for Text Comprehension. ACL (1) Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2017	—	`conf`	Good Semi-supervised Learning That Requires a Bad GAN. NIPS Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Good Semi-supervised Learning that Requires a Bad GAN. CoRR Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	—	`conf`	Learning to Organize Knowledge with N-Gram Machines. AKBC@NIPS Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao
2017	J	`jnl`	Learning to Organize Knowledge with N-Gram Machines. CoRR Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao
2017	J	`jnl`	Linguistic Knowledge as Memory for Recurrent Neural Networks. CoRR Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Quasar: Datasets for Question Answering by Search and Reading. CoRR Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen
2017	—	`conf`	Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	TensorLog: Deep Learning Meets Probabilistic DBs. CoRR William W. Cohen, Fan Yang, Kathryn Mazaitis
2017	J	`jnl`	Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. Knowl. Based Syst. Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen
2017	A	`conf`	TransNets: Learning to Transform for Recommendation. RecSys Rose Catherine, William W. Cohen
2017	J	`jnl`	TransNets: Learning to Transform for Recommendation. CoRR Rose Catherine, William W. Cohen
2017	—	`conf`	Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. ICLR (Poster) Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. CoRR Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2017	A*	`conf`	Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. IJCAI Lidong Bing, William W. Cohen, Bhuwan Dhingra
2017	J	`jnl`	Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. CoRR Lidong Bing, William W. Cohen, Bhuwan Dhingra
2017	—	`conf`	Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora. CoRR Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2016	A*	`conf`	Distant IE by Bootstrapping Using Lists and Document Structure. AAAI Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen
2016	J	`jnl`	Distant IE by Bootstrapping Using Lists and Document Structure. CoRR Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen
2016	J	`jnl`	Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
2016	J	`jnl`	Gated-Attention Readers for Text Comprehension. CoRR Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, Ruslan Salakhutdinov
2016	A	`conf`	Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies. WSDM Bhavana Dalvi, Aditya Kumar Mishra, William W. Cohen
2016	A*	`conf`	Learning First-Order Logic Embeddings via Matrix Factorization. IJCAI William Yang Wang, William W. Cohen
2016	A*	`conf`	Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI Zhilin Yang, Jie Tang, William W. Cohen
2016	J	`jnl`	Multi-Task Cross-Lingual Sequence Tagging from Scratch. CoRR Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2016	A	`conf`	Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. RecSys Rose Catherine, William W. Cohen
2016	—	`conf`	Review Networks for Caption Generation. NIPS Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
2016	A*	`conf`	Revisiting Semi-Supervised Learning with Graph Embeddings. ICML Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Revisiting Semi-Supervised Learning with Graph Embeddings. CoRR Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2016	—	`conf`	Scalable Statistical Relational Learning for NLP. HLT-NAACL Tutorials William Yang Wang, William W. Cohen
2016	J	`jnl`	Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. CoRR Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill
2016	J	`jnl`	TensorLog: A Differentiable Deductive Database. CoRR William W. Cohen
2016	—	`conf`	Tweet2Vec: Character-Based Distributed Representations for Social Media. ACL (2) Bhuwan Dhingra, Zhong Zhou, Dylan J. Fitzpatrick, Michael Muehl, William W. Cohen
2016	J	`jnl`	Tweet2Vec: Character-Based Distributed Representations for Social Media. CoRR Bhuwan Dhingra, Zhong Zhou, Dylan J. Fitzpatrick, Michael Muehl, William W. Cohen
2016	—	`conf`	Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. AKBC@NAACL-HLT Lidong Bing, William W. Cohen, Bhuwan Dhingra, Richard C. Wang
2016	J	`jnl`	Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2015	A*	`conf`	A Soft Version of Predicate Invention Based on Structured Sparsity. IJCAI William Yang Wang, Kathryn Mazaitis, William W. Cohen
2015	A	`conf`	Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. WSDM Bhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen
2015	J	`jnl`	Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval. SIGIR Forum ChengXiang Zhai, William W. Cohen, John D. Lafferty
2015	J	`jnl`	Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. Mach. Learn. William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen
2015	J	`jnl`	Grounded Discovery of Coordinate Term Relationships between Software Entities. CoRR Dana Movshovitz-Attias, William W. Cohen
2015	A*	`conf`	Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. EMNLP Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen
2015	J	`jnl`	Integrating representation learning and skill learning in a human-like intelligent agent. Artif. Intell. Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger
2015	—	`conf`	Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. ACL (1) William Yang Wang, William W. Cohen
2015	—	`conf`	KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts. ACL (1) Dana Movshovitz-Attias, William W. Cohen
2015	—	`conf`	Learning Relational Features with Backward Random Walks. ACL (1) Ni Lao, Einat Minkov, William W. Cohen
2015	A*	`conf`	Learning to Identify the Best Contexts for Knowledge-based WSD. EMNLP Evgenia Wasserman Pritsker, William W. Cohen, Einat Minkov
2015	A*	`conf`	Never-Ending Learning. AAAI 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	J	`jnl`	Programming with "Big Code" (Dagstuhl Seminar 15472). Dagstuhl Reports William W. Cohen, Charles Sutton, Martin T. Vechev
2015	J	`jnl`	Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. Int. J. Artif. Intell. Educ. Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger
2015	J	`jnl`	Using Semantics and Statistics to Turn Data into Knowledge. AI Mag. Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2014	J	`jnl`	Adaptive graph walk-based similarity measures for parsed text. Nat. Lang. Eng. Einat Minkov, William W. Cohen
2014	—	`ch.`	Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links. Handbook of Mixed Membership Models and Their Applications Ramnath Balasubramanyan, William W. Cohen
2014	A*	`conf`	Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. EMNLP William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen
2014	J	`jnl`	Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen
2014	B	`conf`	Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. Intelligent Tutoring Systems Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger
2014	A	`conf`	On Modeling Community Behaviors and Sentiments in Microblogging. SDM Tuan-Anh Hoang, William W. Cohen, Ee-Peng Lim
2014	—	`conf`	ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. StarAI@AAAI William Yang Wang, Kathryn Mazaitis, William W. Cohen
2014	A	`conf`	Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. AISTATS Partha Pratim Talukdar, William W. Cohen
2014	A	`conf`	Structure Learning via Parameter Learning. CIKM William Yang Wang, Kathryn Mazaitis, William W. Cohen
2013	—	`conf`	Classifying entities into an incomplete ontology. AKBC@CIKM Bhavana Dalvi, William W. Cohen, Jamie Callan
2013	A	`conf`	Creating an educational robot by embedding a learning agent in the physical world (abstract only). SIGCSE Nan Li, Apoorv Khandelwal, Tung Phan, David S. Touretzky, William W. Cohen, Kenneth R. Koedinger
2013	B	`conf`	Discovering Student Models with a Clustering Algorithm Using Problem Content. EDM Nan Li, William W. Cohen, Kenneth R. Koedinger
2013	—	`conf`	Exploratory Learning. ECML/PKDD (3) Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
2013	J	`jnl`	Exploratory Learning. CoRR Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
2013	—	`conf`	From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. ECML/PKDD (2) Ramnath Balasubramanyan, Bhavana Bharat Dalvi, William W. Cohen
2013	B	`conf`	General and Efficient Cognitive Model Discovery Using a Simulated Student. CogSci Nan Li, Eliane Stampfer, William W. Cohen, Kenneth R. Koedinger
2013	A	`conf`	Integrating Perceptual Learning with External World Knowledge in a Simulated Student. AIED Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger
2013	—	`conf`	Knowledge Graph Identification. ISWC (1) Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Large-Scale Knowledge Graph Identification Using PSL. AAAI Fall Symposia Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Natural Language Models for Predicting Programming Comments. ACL (2) Dana Movshovitz-Attias, William W. Cohen
2013	—	`conf`	Ontology-aware partitioning for knowledge graph identification. AKBC@CIKM Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	B	`conf`	Politics, sharing and emotion in microblogs. ASONAM Tuan-Anh Hoang, William W. Cohen, Ee-Peng Lim, Douglas Pierce, David P. Redlawsk
2013	J	`jnl`	Problem Order Implications for Learning. Int. J. Artif. Intell. Educ. Nan Li, William W. Cohen, Kenneth R. Koedinger
2013	J	`jnl`	Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic CoRR William Yang Wang, Kathryn Mazaitis, William W. Cohen
2013	A	`conf`	Programming with personalized pagerank: a locally groundable first-order probabilistic logic. CIKM William Yang Wang, Kathryn Mazaitis, William W. Cohen
2013	A	`conf`	Regularization of Latent Variable Models to Obtain Sparsity. SDM Ramnath Balasubramanyan, William W. Cohen
2013	J	`jnl`	Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch. CoRR Partha Pratim Talukdar, William W. Cohen
2013	J	`jnl`	The Effect of Biased Communications On Both Trusting and Suspicious Voters. CoRR William W. Cohen, David P. Redlawsk, Douglas Pierce
2013	A	`conf`	Very Fast Similarity Queries on Semi-Structured Data from the Web. SDM William W. Cohen, Bhavana Bharat Dalvi
2013	J	`jnl`	WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction. CoRR Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
2013	—	`conf`	What's in a Domain? Multi-Domain Learning for Multi-Attribute Data. HLT-NAACL Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Rosé
2012	A*	`conf`	A General and Scalable Approach to Mixed Membership Clustering. ICDM Frank Lin, William W. Cohen
2012	J	`jnl`	A Hierarchical Graphical Model for Record Linkage CoRR Pradeep Ravikumar, William W. Cohen
2012	—	`conf`	Alignment-HMM-based Extraction of Abbreviations from Biomedical Text. BioNLP@HLT-NAACL Dana Movshovitz-Attias, William W. Cohen
2012	—	`conf`	Bootstrapping Biomedical Ontologies for Scientific Text using NELL. BioNLP@HLT-NAACL Dana Movshovitz-Attias, William W. Cohen
2012	—	`conf`	Collectively Representing Semi-Structured Data from the Web. AKBC-WEKEX@NAACL-HLT Bhavana Dalvi, William W. Cohen, Jamie Callan
2012	A	`conf`	Community-based classification of noun phrases in twitter. CIKM Freddy Chong Tat Chua, William W. Cohen, Justin Betteridge, Ee-Peng Lim
2012	A	`conf`	Creating Features from a Learned Grammar in a Simulated Student. ECAI Nan Li, Abraham Schreiber, William W. Cohen, Kenneth R. Koedinger
2012	—	`conf`	Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. BEA@NAACL-HLT Partha P. Talukdar, William W. Cohen
2012	B	`conf`	Efficient Cross-Domain Learning of Complex Skills. ITS Nan Li, William W. Cohen, Kenneth R. Koedinger
2012	—	`conf`	Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks. BioNLP@HLT-NAACL Ramnath Balasubramanyan, Kathryn Rivard, William W. Cohen, Jelena Jakovljevic, John L. Woolford
2012	—	`conf`	Graph Based Similarity Measures for Synonym Extraction from Parsed Text. TextGraphs@ACL Einat Minkov, William W. Cohen
2012	—	`conf`	Integrating perceptual representation learning and skill learning in a simulated student. ICDL-EPIROB Nan Li, William W. Cohen, Kenneth R. Koedinger
2012	—	`conf`	Invited Talks. AAAI Fall Symposium: Discovery Informatics Timothy W. Clark, William W. Cohen, Lawrence Hunter, Chris J. Lintott, Jude W. Shavlik
2012	A	`conf`	Learning similarity measures based on random walks. CIKM William W. Cohen
2012	—	`conf`	Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. ECML/PKDD (2) Nan Li, William W. Cohen, Kenneth R. Koedinger
2012	A	`conf`	Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? ICWSM Ramnath Balasubramanyan, William W. Cohen, Douglas Pierce, David P. Redlawsk
2012	—	`conf`	Multi-Domain Learning: When Do Domains Matter? EMNLP-CoNLL Mahesh Joshi, Mark Dredze, William W. Cohen, Carolyn P. Rosé
2012	B	`conf`	Problem Order Implications for Learning Transfer. ITS Nan Li, William W. Cohen, Kenneth R. Koedinger
2012	—	`conf`	Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP-CoNLL Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen
2012	B	`conf`	Shallow learning as a pathway for successful learning both for tutors and tutees. CogSci Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, William W. Cohen, Gabriel Stylianides, Kenneth R. Koedinger
2012	—	`conf`	Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. DIGITEL Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger, Victoria Keiser, Rohan Raizada, Evelyn Yarzebinski, Shayna P. Watson, Gabriel Stylianides
2012	A	`conf`	WebSets: extracting sets of entities from the web using unsupervised information extraction. WSDM Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
2011	B	`conf`	A Machine Learning Approach for Automatic Student Model Discovery. EDM Nan Li, William W. Cohen, Kenneth R. Koedinger, Noboru Matsuda
2011	A	`conf`	Block-LDA: Jointly modeling entity-annotated text and entity-entity links. SDM Ramnath Balasubramanyan, William W. Cohen
2011	A	`conf`	Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. AIED Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger
2011	A	`conf`	Learning by Teaching SimStudent - Interactive Event. AIED Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger
2011	J	`jnl`	Learning to Order Things CoRR William W. Cohen, Robert E. Schapire, Yoram Singer
2011	A*	`conf`	Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP Ni Lao, Tom M. Mitchell, William W. Cohen
2011	—	`conf`	Structured Databases of Named Entities from Bayesian Nonparametrics. ULNLP@EMNLP Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, Eric P. Xing
2011	J	`jnl`	Technical Paper Recommendation: A Study in Combining Multiple Information Sources CoRR Chumki Basu, William W. Cohen, Haym Hirsh, Craig G. Nevill-Manning
2010	B	`conf`	A Computational Model of Accelerated Future Learning through Feature Recognition. Intelligent Tutoring Systems (2) Nan Li, William W. Cohen, Kenneth R. Koedinger
2010	A	`conf`	A Very Fast Method for Clustering Big Text Datasets. ECAI Frank Lin, William W. Cohen
2010	—	`conf`	Efficient Relational Learning with Hidden Variable Detection. NIPS Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen
2010	—	`conf`	Entity List Completion Using Set Expansion Techniques. TREC Bhavana Bharat Dalvi, Jamie Callan, William W. Cohen
2010	A*	`conf`	Fast query execution for retrieval models based on path-constrained random walks. KDD Ni Lao, William W. Cohen
2010	J	`jnl`	Improving graph-walk-based similarity with reranking: Case studies for personal information management. ACM Trans. Inf. Syst. Einat Minkov, William W. Cohen
2010	A*	`conf`	Integrating Transfer Learning in Synthetic Student. AAAI Nan Li, William W. Cohen, Kenneth R. Koedinger
2010	B	`conf`	Learning by Teaching SimStudent. Intelligent Tutoring Systems (2) Noboru Matsuda, Victoria Keiser, Rohan Raizada, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger
2010	B	`conf`	Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. Intelligent Tutoring Systems (1) Noboru Matsuda, Victoria Keiser, Rohan Raizada, Arthur Tu, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger
2010	A*	`conf`	Power Iteration Clustering. ICML Frank Lin, William W. Cohen
2010	A	`ed.`	Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, 2010 ICWSM William W. Cohen, Samuel Gosling
2010	J	`jnl`	Relational retrieval using a combination of path-constrained random walks. Mach. Learn. Ni Lao, William W. Cohen
2010	B	`conf`	Semi-Supervised Classification of Network Data Using Very Few Labels. ASONAM Frank Lin, William W. Cohen
2010	—	`conf`	Signal/Collect: Graph Algorithms for the (Semantic) Web. ISWC (1) Philip Stutz, Abraham Bernstein, William W. Cohen
2010	J	`jnl`	Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Semant. Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy
2010	—	`conf`	Towards a Computational Model of Why Some Students Learn Faster than Others. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger
2009	—	`conf`	Automatic Set Instance Extraction using the Web. ACL/IJCNLP Richard C. Wang, William W. Cohen
2009	A*	`conf`	Character-level Analysis of Semi-Structured Documents for Set Expansion. EMNLP Richard C. Wang, William W. Cohen
2009	A	`conf`	From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. ICWSM Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith
2009	A	`conf`	Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. ICWSM Andrew Arnold, William W. Cohen
2009	—	`conf`	Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection. WASA Andrew Arnold, William W. Cohen
2009	—	`conf`	Predicting Response to Political Blog Posts with Topic Models. HLT-NAACL Tae Yano, William W. Cohen, Noah A. Smith
2009	A*	`conf`	Structured correspondence topic models for mining captioned figures in biological literature. KDD Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy
2008	—	`conf`	Activity-centred Search in Email. CEAS Einat Minkov, Ramnath Balasubramanyan, William W. Cohen
2008	A*	`conf`	Automatic Set Expansion for List Question Answering. EMNLP Richard C. Wang, Nico Schlaefer, William W. Cohen, Eric Nyberg
2008	A*	`conf`	Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
2008	A	`conf`	Intra-document structural frequency features for semi-supervised domain adaptation. CIKM Andrew Arnold, William W. Cohen
2008	A*	`conf`	Iterative Set Expansion of Named Entities Using the Web. ICDM Richard C. Wang, William W. Cohen
2008	A*	`conf`	Joint latent topic models for text and citations. KDD Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen
2008	A*	`conf`	Learning Graph Walk Based Similarity Measures for Parsed Text. EMNLP Einat Minkov, William W. Cohen
2008	A	`conf`	Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM Ramesh Nallapati, William W. Cohen
2008	A*	`ed.`	Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 ICML William W. Cohen, Andrew McCallum, Sam T. Roweis
2008	A	`conf`	Ranking Users for Intelligent Message Addressing. ECIR Vitor R. Carvalho, William W. Cohen
2008	A	`conf`	Recovering Implicit Thread Structure in Newsgroup Style Conversations. ICWSM Yi-Chia Wang, Mahesh Joshi, William W. Cohen, Carolyn P. Rosé
2008	—	`conf`	Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. BioLINK@ISMB/ECCB Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy
2008	A	`conf`	Suppressing outliers in pairwise preference ranking. CIKM Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell
2008	A	`conf`	The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. ICWSM Frank Lin, William W. Cohen
2008	B	`conf`	Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. Intelligent Tutoring Systems Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger
2007	—	`conf`	A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
2007	Misc	`conf`	A Stacked Graphical Model for Associating Sub-Images with Sub-Captions. Pacific Symposium on Biocomputing Zhenzhen Kou, William W. Cohen, Robert F. Murphy
2007	—	`conf`	Discovering Leadership Roles in Email Workgroups. CEAS Vitor R. Carvalho, Wen Wu, William W. Cohen
2007	—	`conf`	Evaluating a Simulated Student Using Real Students Data for Training and Testing. User Modeling Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger
2007	J	`jnl`	Extending WHIRL with background knowledge for improved text classification. Inf. Retr. Sarah Zelikovitz, William W. Cohen, Haym Hirsh
2007	—	`conf`	Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features. ISBI Juchang Hua, Orhan N. Ayasli, William W. Cohen, Robert F. Murphy
2007	A*	`conf`	Language-Independent Set Expansion of Named Entities Using the Web. ICDM Richard C. Wang, William W. Cohen
2007	C	`conf`	Machine Learning for Information Management: Some Promising Directions. ICMLA William W. Cohen
2007	—	`conf`	Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops Ramesh Nallapati, William W. Cohen, John D. Lafferty
2007	A	`conf`	Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. AIED Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger
2007	A	`conf`	Preventing Information Leaks in Email. SDM Vitor R. Carvalho, William W. Cohen
2007	—	`conf`	Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing
2007	A	`conf`	Stacked Graphical Models for Efficient Inference in Markov Random Fields. SDM Zhenzhen Kou, William W. Cohen
2006	J	`jnl`	A graph-search framework for associating gene identifiers with documents. BMC Bioinform. William W. Cohen, Einat Minkov
2006	—	`conf`	An Email and Meeting Assistant Using Graph Walks. CEAS Einat Minkov, William W. Cohen
2006	A*	`conf`	Contextual search and name disambiguation in email using graphs. SIGIR Einat Minkov, William W. Cohen, Andrew Y. Ng
2006	A*	`ed.`	Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 ICML William W. Cohen, Andrew W. Moore
2006	—	`conf`	NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction. HLT-NAACL Einat Minkov, Richard C. Wang, Anthony Tomasic, William W. Cohen
2006	A*	`conf`	Single-pass online learning: performance, voting schemes and online feature selection. KDD Vitor R. Carvalho, William W. Cohen
2005	A	`conf`	Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan
2005	—	`conf`	Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. HLT/EMNLP Einat Minkov, Richard C. Wang, William W. Cohen
2005	—	`conf`	High-recall protein entity recognition using a dictionary. ISMB (Supplement of Bioinformatics) Zhenzhen Kou, William W. Cohen, Robert F. Murphy
2005	A*	`conf`	Learning to Understand Web Site Update Requests. IJCAI William W. Cohen, Einat Minkov, Anthony Tomasic
2005	A*	`conf`	On the collective classification of email "speech acts". SIGIR Vitor Rocha de Carvalho, William W. Cohen
2005	A*	`conf`	Stacked Sequential Learning. IJCAI William W. Cohen, Vitor Rocha de Carvalho
2004	A	`conf`	A Hierarchical Graphical Model for Record Linkage. UAI Pradeep Ravikumar, William W. Cohen
2004	A*	`conf`	Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. KDD William W. Cohen, Sunita Sarawagi
2004	—	`conf`	Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen
2004	A*	`conf`	Learning to Classify Email into "Speech Acts". EMNLP William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell
2004	—	`conf`	Learning to Extract Signature and Reply Lines from Email. CEAS Vitor Rocha de Carvalho, William W. Cohen
2004	—	`conf`	Semi-Markov Conditional Random Fields for Information Extraction. NIPS Sunita Sarawagi, William W. Cohen
2003	—	`conf`	A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
2003	—	`ch.`	A Wrapper Induction System for Complex Documents, and its Application to Tabular Data on the Web. Web Document Analysis William W. Cohen, Matthew Hurst, Lee S. Jensen
2003	J	`jnl`	Adaptive Name Matching in Information Integration. IEEE Intell. Syst. Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
2003	A*	`conf`	Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR ChengXiang Zhai, William W. Cohen, John D. Lafferty
2003	—	`conf`	Extracting information from text and images for location proteomics. BIOKDD Zhenzhen Kou, William W. Cohen, Robert F. Murphy
2003	C	`conf`	Infrastructure Components for Large-Scale Information Extraction Systems. IAAI William W. Cohen
2003	J	`jnl`	Learning and Discovering Structure in Web Pages. IEEE Data Eng. Bull. William W. Cohen
2003	A*	`conf`	Understanding captions in biomedical publications. KDD William W. Cohen, Richard C. Wang, Robert F. Murphy
2002	A*	`conf`	A flexible learning system for wrapping tables and lists in HTML documents. WWW William W. Cohen, Matthew Hurst, Lee S. Jensen
2002	—	`conf`	Improving a Page Classifier with Anchor Extraction and Link Analysis. NIPS William W. Cohen
2002	A*	`conf`	Learning to match and cluster large high-dimensional data sets for data integration. KDD William W. Cohen, Jacob Richman
2001	—	`conf`	Issues in Extracting Information from the Web. IWPT William W. Cohen
2001	J	`jnl`	Technical Paper Recommendation: A Study in Combining Multiple Information Sources. J. Artif. Intell. Res. Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning
2000	A*	`conf`	Automatically Extracting Features for Concept Learning from the Web. ICML William W. Cohen
2000	J	`jnl`	Data integration using similarity joins and a word-based information representation language. ACM Trans. Inf. Syst. William W. Cohen
2000	B	`conf`	Extracting Information from the Web for Concept Learning and Collaborative Filtering. ALT William W. Cohen
2000	A*	`conf`	Hardening soft information sources. KDD William W. Cohen, Henry A. Kautz, David A. McAllester
2000	J	`jnl`	Learning to Understand the Web. IEEE Data Eng. Bull. William W. Cohen, Andrew McCallum, Dallan Quass
2000	J	`jnl`	Special Issue of Machine Learning on Information Retrieval - Introduction. Mach. Learn. Jaime G. Carbonell, Yiming Yang, William W. Cohen
2000	J	`jnl`	WHIRL: A word-based information representation language. Artif. Intell. William W. Cohen
2000	J	`jnl`	Web-collaborative filtering: recommending music by crawling the Web. Comput. Networks William W. Cohen, Wei Fan
1999	A*	`conf`	A Demonstration of WHIRL (demonstration abstract). SIGIR William W. Cohen
1999	—	`conf`	A Simple, Fast, and Effictive Rule Learner. AAAI/IAAI William W. Cohen, Yoram Singer
1999	J	`jnl`	Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods. Int. J. Softw. Eng. Knowl. Eng. William W. Cohen, Premkumar T. Devanbu
1999	J	`jnl`	Context-Sensitive Learning Methods for Text Categorization. ACM Trans. Inf. Syst. William W. Cohen, Yoram Singer
1999	J	`jnl`	Learning Page-Independent Heuristics for Extracting Data from Web Pages. Comput. Networks William W. Cohen, Wei Fan
1999	J	`jnl`	Learning to Order Things. J. Artif. Intell. Res. William W. Cohen, Robert E. Schapire, Yoram Singer
1999	J	`jnl`	Reasoning about Textual Similarity in a Web-Based Information Access System. Auton. Agents Multi Agent Syst. William W. Cohen
1999	—	`conf`	Recognizing Structure in Web Pages using Similarity Queries. AAAI/IAAI William W. Cohen
1999	—	`conf`	Some Practical Observations on Integration of Web Information. WebDB (Informal Proceedings) William W. Cohen
1998	—	`conf`	A Web-Based Information System that Reasons with Structured Collections of Text. Agents William W. Cohen
1998	J	`jnl`	Communication Performance of Java-Based Parallel Virtual Machines. Concurr. Pract. Exp. Narendar Yalamanchilli, William W. Cohen
1998	J	`jnl`	Hardness Results for Learning First-Order Representations and Programming by Demonstration. Mach. Learn. William W. Cohen
1998	—	`conf`	Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference William W. Cohen
1998	A*	`conf`	Joins that Generalize: Text Classification Using WHIRL. KDD William W. Cohen, Haym Hirsh
1998	—	`conf`	Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference William W. Cohen
1998	—	`conf`	Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI Chumki Basu, Haym Hirsh, William W. Cohen
1997	A*	`conf`	A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML William W. Cohen, Premkumar T. Devanbu
1997	—	`conf`	Learning to Order Things. NIPS William W. Cohen, Robert E. Schapire, Yoram Singer
1997	—	`conf`	Transferring and Retraining Learned Information Filters. AAAI/IAAI William W. Cohen, Daniel Kudenko
1996	J	`jnl`	Adaptive mapping and navigation by teams of simple robots. Robotics Auton. Syst. William W. Cohen
1996	A*	`conf`	Context-sensitive Learning Methods for Text Categorization. SIGIR William W. Cohen, Yoram Singer
1996	—	`conf`	Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 William W. Cohen
1996	A*	`conf`	The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). COLT William W. Cohen
1995	A*	`conf`	Corrigendum for "Learnability of Description Logics". COLT William W. Cohen, Haym Hirsh
1995	A*	`conf`	Fast Effective Rule Induction. ICML William W. Cohen
1995	J	`jnl`	Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors. Autom. Softw. Eng. William W. Cohen
1995	J	`jnl`	Pac-Learning Non-Recursive Prolog Clauses. Artif. Intell. William W. Cohen
1995	J	`jnl`	Pac-Learning Recursive Logic Programs: Efficient Algorithms CoRR William W. Cohen
1995	J	`jnl`	Pac-Learning Recursive Logic Programs: Efficient Algorithms. J. Artif. Intell. Res. William W. Cohen
1995	J	`jnl`	Pac-learning Recursive Logic Programs: Negative Results CoRR William W. Cohen
1995	J	`jnl`	Pac-learning Recursive Logic Programs: Negative Results. J. Artif. Intell. Res. William W. Cohen
1995	J	`jnl`	Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Gener. Comput. William W. Cohen, C. David Page Jr.
1995	A*	`conf`	Text Categorization and Relational Learning. ICML William W. Cohen
1994	J	`jnl`	Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language. Artif. Intell. William W. Cohen
1994	J	`jnl`	Incremental Abductive EBL. Mach. Learn. William W. Cohen
1994	A*	`conf`	Learning the Classic Description Logic: Theoretical and Experimental Results. KR William W. Cohen, Haym Hirsh
1994	A*	`ed.`	Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994 ICML William W. Cohen, Haym Hirsh
1994	A*	`conf`	Pac-Learning Nondeterminate Clauses. AAAI William W. Cohen
1994	A*	`conf`	Recovering Software Specifications with Inductive Logic Programming. AAAI William W. Cohen
1994	J	`jnl`	The Case for Explicit Exceptions. Methods Log. Comput. Sci. L. Thorne McCarty, William W. Cohen
1994	J	`jnl`	The Learnability of Description Logics with Equality Constraints. Mach. Learn. William W. Cohen, Haym Hirsh
1993	J	`jnl`	Creating a Memory of Casual Relationships (Book Review). Mach. Learn. William W. Cohen
1993	A*	`conf`	Cryptographic Limitations on Learning One-Clause Logic Programs. AAAI William W. Cohen
1993	A*	`conf`	Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems. IJCAI William W. Cohen
1993	A*	`conf`	Pac-Learning a Restricted Class of Recursive Logic Programs. AAAI William W. Cohen
1992	J	`jnl`	Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem. Mach. Learn. William W. Cohen
1992	A*	`conf`	Computing Least Common Subsumers in Description Logics. AAAI William W. Cohen, Alexander Borgida, Haym Hirsh
1992	—	`conf`	Desiderata for Generalization-to-N Algorithms. AII William W. Cohen
1992	A*	`conf`	Learnability of Description Logics. COLT William W. Cohen, Haym Hirsh
1992	J	`jnl`	Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms. Comput. Intell. William W. Cohen
1991	—	`conf`	The Generality of Overgenerality. ML William W. Cohen
1990	—	`conf`	An Analysis of Representation Shift in Concept Learning. ML William W. Cohen
1990	—	`conf`	Learning Approximate Control Rules of High Utility. ML William W. Cohen
1990	A*	`conf`	Learning from Textbook Knowledge: A Case Study. AAAI William W. Cohen
1988	—	`conf`	Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. ML William W. Cohen
1986	J	`jnl`	Synthesis and Optimization of Multilevel Logic under Timing Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Karen A. Bartlett, William W. Cohen, Aart J. de Geus, Gary D. Hachtel
1985	J	`jnl`	A Rule-Based System for Optimizing Combinational Logic. IEEE Des. Test Aart J. de Geus, William W. Cohen