Daniel S. Weld

Publications

• A Computational Inflection for Scientific Discovery Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz, Communications of the ACM, Volume 66, Issue 8, pp 62–73, August 2023.
• In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok, Daniel S. Weld. ArXiv, abs/2305.07722, May 2023.
• CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld. CHI-23, April 2023. Best Paper
• The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, <47 additional authors>, Marti A. Hearst, Daniel S. Weld. arXiv:2303.14334, March 2023.
• Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld, 28th Annual Conference on Intelligent User Interfaces (IUI-23), March 2023.
• ScatterShot: Interactive In-context Example Curation for Text Transformation Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Tulio Ribeiro. 28th Annual Conference on Intelligent User Interfaces (IUI-23), March 2023. Best Paper Honorable Mention
• The Semantic Scholar Open Data Platform Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine Van Zuylen, Daniel S. Weld, arXiv:2301.10140v1, January 24, 2023.
• ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jon Borchardt, Daniel S. Weld, Tom Hope, Doug Downey, Demos of EMNLP-22: The 2022 Conference on Empirical Methods in Natural Language Processing Demo Track, Abu Dhabi, December 7, 2022.
• FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie (Yu-Yen) Cheng, Daniel S. Weld, Jonathan Bragg, UIST-22: ACM Symposium on User Interface Software and Technology, Bend Oregon, October 29, 2022.
• Paper to HTML Lucy Lu Wang, Jonathan Bragg, Danisl S. Weld, ACM SIGACCESS Accessibility and Computing, Issue 134, October 2022
• Few-shot Mining of Naturally Occurring Inputs and Outputs Mandar Joshi, Terra Blevins, M. Lewis, Daniel S. Weld, Luke Zettlemoyer arXiv 2205.04050, May 2022
• From who you know to what you read: featuring implicit social networks in scientific recommendation (Hyeonsu B Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S Weld, Doug Downey, Jonathan Bragg, CHI ’22: CHI Conference on Human Factors in Computing Systems, May 2022)
• Bursting Scientific Filter Bubbles: Boosting Innovation Via Novel Author Discovery (Jason Portenoy, Marissa Radensky, Jevin D West, Eric Horvitz, Daniel S Weld, Tom Hope, CHI ’22: CHI Conference on Human Factors in Computing Systems, May 2022)
• VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups (Z. Shen, K. Lo, L.Lu Wang, B. Kuehl, D.S. Weld, D. Downey, Transactions of the Association for Computational Linguistics 10, 04 2022.)
• Infrastructure for rapid open knowledge network development (M. Cafarella, M. Anderson, I. Beltagy, A. Cattan, S. Chasins, I. Dagan, D. Downey, O. Etzioni, S. Feldman, T. Gao, T. Hope, K. Huang, S. Johnson, D. King, K. Lo, Y. Lou, M. Shapiro, D. Shen, S. Subramanian, L.Lu Wang, Y. Wang, Y. Wang, D.S. Weld, J. Vo-Phamhi, A. Zeng, J. Zou, AI Magazine 43, March 31 2022.)
• CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading (N. Rachatasumrit, J. Bragg, A.X. Zhang, D.S. Weld, 27th International Conference on Intelligent User Interfaces, Association for Computing Machinery, March 22 2022.)
• Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search (D. King, Z. Shen, N. Subramani, D.S. Weld, I. Beltagy, D. Downey, arXiv, March 2022.)
• A Search Engine for Discovery of Scientific Challenges and Directions (D. Lahav, J.Saad Falcon, B. Kuehl, S. Johnson, S. Parasa, N. Shomron, D.Horng Chau, D. Yang, E. Horvitz, D.S. Weld, T. Hope, 36th AAAI Conference on Artificial Intelligence (AAAI-22), AAAI, February 2022.)
• Goldilocks: Consistent Crowdsourced Scalar Annotationswith Relative Uncertainty (Q. Chen, D.S. Weld, A.X. Zhang, CSCW ’21: The 24th ACM Conference on Computer-Supported Cooperative Work And Social Computing, October 2021.)
• Exploring The Role of Local and Global Explanations in Recommender Systems (M. Radensky, D. Downey, K. Lo, Z. Popovic, D. Weld, arXiv:2109.13301, September 27 2021.)
• Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models (T. Wu, M.Tulio Ribeiro, J. Heer, D.S. Weld, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 2021.)
• Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery (J. Portenoy, M. Radensky, J. West, E. Horvitz, D. Weld, T. Hope, arXiv:2108.05669, August 2021.)
• Extracting a Knowledge Base of Mechanisms from COVID-19 Papers (T. Hope, A. Amini, D. Wadden, M. van Zuylen, S. Parasa, E. Horvitz, D. Weld, R. Schwartz, H. Hajishirzi, 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-21), June 2021.)
• Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance (G. Bansal, T. Wu, J. Zhou, R. Fok, B. Nushi, E. Kamar, M.Tulio Ribeiro, D.S. Weld, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, May 2021.)
• Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols (A. Head, K. Lo, D. Kang, R. Fok, S. Skjonsberg, D.S. Weld, M.A. Hearst, CHI ’21: CHI Conference on Human Factors in Computing Systems, ACM, May 2021.)
• SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts (A. Cattan, S. Johnson, D.S. Weld, I. Dagan, I. Beltagy, D. Downey, T. Hope, arXiv:2104.08809, April 2021.)
• Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork (G. Bansal, B. Nushi, E. Kamar, E. Horvitz, D.S. Weld, AAAI, February 2021.)
• GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation (D. Khashabi, G. Stanovsky, J. Bragg, N. Lourie, J. Kasai, Y. Choi, N.A. Smith, D.S. Weld, arXiv 2101.06561, arXiv, January 2021.)
• TLDR: Extreme Summarization of Scientific Documents (I. Cachola, K. Lo, A. Cohan, D.S. Weld, Findings of EMNLP, November 2020.)
• Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions (D. Kang, A. Head, R. Sidhu, K. Lo, D. Weld, M.A. Hearst, First Workshop on Scholarly Document Processing (SDP) at EMNLP 2020, November 2020.)
• Newspaper Navigator: Open Faceted Search for 1.5 Million Images (B.C.G. Lee, D.S. Weld, Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, October 2020.)
• The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America (B.C.G. Lee, J. Mears, E. Jakeway, M. Ferriter, C. Adams, N. Yarasavage, D. Thomas, K. Zwaard, D.S. Weld, 29th ACM International Conference on Information & Knowledge Management (CIKM-20), ACM, October 2020.)
• High-Precision Extraction of Emerging Concepts from Scientific Literature (D. King, D. Downey, D.S. Weld, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-20), ACM, July 2020.)
• Document-level Representation Learning using Citation-informed Transformers (A. Cohan, S. Feldman, I. Beltagy, D. Downey, D.S. Weld, Annual Conference of the Association for Computational Linguistics (ACL-20), July 2020.)
• S2ORC: The Semantic Scholar Open Research Corpus (K. Lo, L. Wang, M. Neumann, R. Kinney, D.S. Weld, Annual Conference of the Association for Computational Linguistics (ACL-20), July 2020.)
• The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America (B.C.G. Lee, J. Mears, E. Jakeway, M. Ferriter, C. Adams, N. Yarasavage, D. Thomas, K. Zwaard, D.S. Weld, arXiv:2005:01583, May 2020.
• No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML (A. Smith-Renner, R. Fan, M. Birchfield, T. Wu, J. Boyd-Graber, D.S. Weld, L. Findlater, CHI, ACM, April 2020.)
• CORD-19: The COVID-19 Open Research Dataset (L.Lu Wang, K. Lo, Y. Chandrasekhar, R. Reas, J. Yang, D. Eide, K. Funk, R. Kinney, Z. Liu, W. Merrit, P. Mooney, D. Murdick, D. Rishi, J. Sheehan, Z. Shen, B. Stilson, A.D. . Wang, K. Wang, C. Wilhelm, B. Xie, D. Raymond, D.S. Weld, O. Etzioni, S. Kohlmeier, arXiv:2004:10706, April 2020.)
• SpanBERT: Improving Pre-training by Representing and Predicting Spans (M. Joshi, D. Chen, Y. Liu, D.S. Weld, L. Zettlemoyer, O. Levy, Transactions of the Association for Computational Linguistics (TACL) 8, March 2020.)
• Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation (B.C.G. Lee, K. Lo, D. Downey, D.S. Weld, arXiv:2003:04315, March 2020.)
• BERT for Coreference Resolution: Baselines and Analysis (M. Joshi, O. Levy, L. Zettlemoyer, D. Weld, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics, November 2019.)
• Pretrained Language Models for Sequential Sentence Classification (A. Cohan, I. Beltagy, D. King, B. Dalvi, D. Weld, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics, November 2019.)
• Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance (G. Bansal, B. Nushi, E. Kamar, W. Lasecki, D.S. Weld, E. Horvitz, HCOMP, October 2019.)   **Statement regarding a co-author’s conduct
• Errudite: Scalable, Reproducible, and Testable Error Analysis (T. Wu, M.Tulio Ribeiro, J. Heer, D.S. Weld, the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July 2019.)
• The Challenge of Crafting Intelligible Intelligence (D.S. Weld, G. Bansal, CACM, June 2019.)
• pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference (M. Joshi, E. Choi, O. Levy, D.S. Weld, L. Zettlemoyer, Proceedings of NAACL-HLT 2019, June 2019.)
• Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis (T. Wu, D.S. Weld, J. Heer, ACM Transactions on Computer-Human Interaction 26:4, June 2019.)
• Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing (Q. Chen, J. Bragg, L. Chilton, D.S. Weld, CHI, May 2019.)
• Guidelines for Human-AI Interaction (S. Amershi, D. Weld, M. Vorvoreanu, A. Fourney, B. Nushi, P. Collisson, J. Suh, S. Iqbal, P. Bennett, K. Inkpen, J. Teevan, R. Kikin-Gil, E. Horvitz, CHI, ACM, May 2019.)
• Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff (G. Bansal, B. Nushi, E. Kamar, D.S. Weld, W.S. Lasecki, E. Horvitz, AAAI, February 2019.) **Statement regarding a co-author’s conduct
• Sprout: Crowd-Powered Task Design for Crowdsourcing (J. Bragg,  Mausam, D.S. Weld, ACM Symposium on User Interface Software and Technology (UIST ’18), October 2018.)
• Active Learning with Unbalanced Classes & Example-Generation Queries (C. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation, July 2018.)
• Semi-Supervised Event Extraction with Paraphrase Clusters (J. Ferguson, C. Lockard, D.S. Weld, H. Hajishirzi, NAACL-HLT, June 2018.)
• StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow (Z. Yao, D. Weld, C.W. P., S. H., Proceedings of the Web Conference (WWW18),  2018.)
• A Coverage-Based Utility Model for Identifying Unknown Unknowns (G. Bansal, D.S. Weld, AAAI,  2018.)
• TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension (M. Joshi, E. Choi, D.S. Weld, L. Zettlemoyer, ACL, July 2017.)
• MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy (R. Drapeau, L.B. Chilton, J. Bragg, D.S. Weld, Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), AAAI Press, November 2016.)
• Effective Crowd Annotation for Relation Extraction (A. Liu, S. Soderland, J. Bragg, C.H. Lin, X. Ling, D.S. Weld, 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016), June 2016.)
• Optimal Testing for Crowd Workers (J. Bragg,  Mausam, D.S. Weld, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016.)
• Toward Automatic Bootstrapping of Online Communities Using Decision-theoretic Optimization (S.W. Huang, J. Bragg, I. Cowhey, O. Etzioni, D. Weld, Computer Supported Cooperative Work (CSCW), ACM, February 2016.)
• Re-active Learning: Active Learning with Relabeling (C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, February 2016.)
• University of Washington System for 2015 KBP Cold Start Slot Filling (S. Soderland, N. Hawkins, G. Kim, D.S. Weld, Text Analysis Conference (TAC) KBP, November 2015.)
• Artificial Intelligence and Collective Intelligence (D.S. Weld,  Mausam, C. Lin, J. Bragg, The Collective Intelligence Handbook (Thomas Malone & Michael Bernstein, eds.), MIT Press, September 2015.)
• Reactive Learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones (C.H. Lin,  Mausam, D.S. Weld, ICML Workshop on Crowdsourcing and Machine Learning and ICML Active Learning Workshop,  July 2015.)
• Learning on the Job: Optimal Instruction for Crowdsourcing (J. Bragg,  Mausam, D.S. Weld, ICML ’15 Workshop on Crowdsourcing and Machine Learning,  July 2015.)
• Design Challenges for Entity Linking (X. Ling, S. Singh, D.S. Weld, Transactions of the Association for Computational Linguistics 3, June 2015.)
• Exploiting Parallel News Streams for Unsupervised Event Extraction (C. Zhang, S. Soderland, D.S. Weld, Transactions of the Association for Computational Linguistics (TACL) 3, March 2015.) Crawled parallel news streams are available at http://www.cs.washington.edu/ai/clzhang/sentences.tokens.gz http://www.cs.washington.edu/ai/clzhang/sentences.articleIDs.gz The github url of this project: https://github.com/zhangcongle/NewsSpikeRe
• Extreme Extraction: Only One Hour per Relation (R. Hoffmann, L. Zettlemoyer, D.S. Weld, CoRR abs/1506.06418,  2015.)
• Parallel Task Routing for Crowdsourcing (J. Bragg, A. Kolobov,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, November 2014.)
• To Re(label), or Not To Re(label) (C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, November 2014.)
• Type-Aware Distantly Supervised Relation Extraction with Linked Arguments (M. Koch, J. Gilmer, S. Soderland, D.S. Weld, Conference on Empirical Methods in Natural Language Processing (EMNLP), October 25 2014.) Downloads: http://cs.uw.edu/homes/mkoch/re
• Frenzy: Collaborative Data Organization for Creating Conference Sessions (L.B. Chilton, F. Cordeiro, D.S. Weld, J. Landay, CHI 2014, April 2014.) Downloads: http://homes.cs.washington.edu/~weld/papers/chilton-chi14.pdf PDF
• Context Representation for Named Entity Linking (X. Ling, S. Singh, D.S. Weld, 3rd Pacific Northwest Regional NLP Workshop,  2014.) Downloads: http://homes.cs.washington.edu/~xiaoling/papers/nwnlp14.pdf
• Joint Crowdsourcing of Multiple Tasks (A. Kolobov,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP) Works in Progress Track, AAAI Press, November 2013.
• Crowdsourcing Multi-Label Classification for Taxonomy Creation (J. Bragg,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP), AAAI Press, November 2013. Awarded Best Paper)
• Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing (C.H. Lin,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP) Works in Progress Track, AAAI Press, November 2013.)
• Open Information Extraction to KBP Relation in 3 Hours (S. Soderland, J. Gilmer, R. Bart, O. Etzioni, D.S. Weld, Text Analysis Conference - Knowledge Base Propagation (KBP), November 2013.) Downloads: http://homes.cs.washington.edu/~soderlan/Soderland-KBP2013.pdf PDF
• Harvesting Parallel News Streams to Generate Paraphrases of Event Relations (C. Zhang, D.S. Weld, Conference on Empirical Methods in Natural Language Processing (EMNLP), October 18 2013.) Downloads: http://www.cs.washington.edu/ai/clzhang/release.tar.gz datasets
• Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves (H. Hajishirzi, L. Zilles, D.S. Weld, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), October 18 2013.)
• Extracting Meronyms for a Biology Knowledge Base using Distant Supervision (X. Ling, P. Clark, D.S. Weld, ACM Workshop on Automatic Knowledge-Base Construction, ACM, October 2013.)
• POMDP-based control of workflows for crowdsourcing (P. Dai, C. Lin,  Mausam, D.S. Weld, Artificial Intelligence 202, September 2013.)
• Cascade: Crowdsourcing Taxonomy Creation (L.B. Chilton, G. Little, D. Edge, D.S. Weld, J.A. Landay, CHI,  2013.) Downloads: http://hmslydia.com/my_publications/ChiltonCascadeCHI2013.pdf PDF
• Discovering Hidden Structure in Factored MDPs (A. Kolobov,  Mausam, D.S. Weld, Artificial Intelligence 189, September 2012.)
• Crowdsourcing Control: Moving Beyond Multiple Choice (C.H. Lin,  Mausam, D.S. Weld, Conference on Uncertainty in Artificial Intelligence, August 2012.)
• A Theory of Goal-Oriented MDPs with Dead Ends (A. Kolobov,  Mausam, D. Weld, Conference on Uncertainty in Artificial Intelligence (UAI), August 2012.)
• Personalized Online Education — A Crowdsourcing Challenge (D.S. Weld, E. Adar, L. Chilton, R. Hoffmann, E. Horvitz, M. Koch, J. Landay, C. Lin,  Mausam, 4th Human Computation Workshop (HCOMP-12), July 2012.)
• Dynamically Switching between Synergistic Workflows for Crowdsourcing (C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, July 2012.) Downloads: http://www.cs.washington.edu/ai/pubs/linmausamweld-aaai12.pdf PDF
• Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors (A. Kolobov, P. Dai,  Mausam, D.S. Weld, ICAPS, June 2012.)
• ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks (S. Amershi, J. Fogarty, D.S. Weld, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12),  2012.)
• Ontological Smoothing for Relation Extraction with Minimal Supervision (C. Zhang, R. Hoffmann, D.S. Weld, AAAI Conference on Artificial Intelligence,  2012.)
• LRTDP vs. UCT for Online Probabilistic Planning (A. Kolobov,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence,  2012.)
• Fine-Grained Entity Recognition (X. Ling, D.S. Weld, AAAI Conference on Artificial Intelligence,  2012.) Downloads: http://www.cs.washington.edu/ai/figer/figer.tar.gz Code
• Execution Control for Crowdsourcing (D. Weld,  Mausam, P. Dai, UIST, October 2011.)
• Topological Value-Iteration Algorithms (P. Dai,  Mausam, J. Goldsmith, D. Weld, JAIR 42, October 2011.)
• Artificial Intelligence for Artificial Artificial Intelligence (P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, August 2011.)
• Human Intelligence Needs Artificial Intelligence (D. Weld,  Mausam, P. Dai, Human Computation Workshop, August 2011.)
• Towards Scalable MDP Algorithms (A. Kolobov,  Mausam, D. Weld, Twenty-Second International Joint Conference on Artificial Intelligence, AAAI Press, June 2011.) Downloads: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI11/paper/view/2911/3611 PDF
• Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations (R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. Weld, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 6/2011 2011.) Downloads: http://homes.cs.washington.edu/~raphaelh/mr/index.html Source Code
• Heuristic Search for Generalized Stochastic Shortest Path MDPs (A. Kolobov,  Mausam, D. Weld, H. Geffner, International Conference on Automated Planning and Scheduling, 6/2011 2011.)
• Systematic Nonlinear Planning (D. Weld, AI Magazine 32:1, April 2011.)
• Learning First-Order Horn Clauses from Web Text (S. Schoenmackers, J. Davis, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 10/2010 2010.)
• Automatically generating personalized user interfaces with Supple (K.Z. Gajos, D.S. Weld, J.O. Wobbrock, Artificial Intelligence 174:12-13, August  2010.) Downloads: http://ac.els-cdn.com/S0004370210000822/1-s2.0-S0004370210000822-main.pd… PDF
• SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs (A. Kolobov,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 7/2010 2010.)
• Temporal Information Extraction (X. Ling, D. Weld, AAAI Conference on Artificial Intelligence, 7/2010 2010.) Downloads: http://ai.cs.washington.edu/www/media/downloadable/media/tie_data.tar.gz Data Set
• Open Information Extraction using Wikipedia (F. Wu, D. Weld, Annual Meeting of the Association for Computational Linguistics, 7/2010 2010.)
• Decision-Theoretic Control for Crowdsourced Workflows (P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, July 2010.)
• Learning 5000 Relational Extractors (R. Hoffmann, D. Weld, Annual Meeting of the Association for Computational Linguistics, 7/2010 2010.)
• Machine Reading at the University of Washington (H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon,  Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. Schoenmackers, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 6/2010 2010.)
• Classical Planning in MDP Heuristics: With a Little Help from Generalization (A. Kolobov,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 5/2010 2010.)
• Panlingual Lexical Translation via Probabilistic Inference (Mausam, S. Soderland, O. Etzioni, D. Weld, J. Bilmes, K. Reiter, M. Skinner, M. Sammer, Artificial Intelligence, 2010 2010.)
• Focused Topological Value Iteration (P. Dai,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 9/2009 2009.)
• Compiling a Massive, Multilingual Dictionary via Probabilistic Inference (Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 8/2009 2009.)
• ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning (A. Kolobov,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 7/2009 2009.)
• Domain-Independent, Automatic Partitioning for Probabilistic Planning (P. Dai,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 7/2009 2009.)
• Amplifying Community Content Creation with Mixed Initiative Information Extraction (R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. Weld, Conference on Human Factors in Computing Systems, 4/2009 2009.)
• Open Information Extraction from the Web (O. Etzioni, S. Soderland, D. Weld, M. Banko, Communications of the ACM, 12/2008 2008.)
• Scaling Textual Inference to the Web (S. Schoenmackers, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 10/2008 2008.)
• Partitioned External Memory Value Iteration (P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 7/2008 2008.)
• Information Extraction from Wikipedia: Moving Down the long Tail (F. Wu, R. Hoffmann, D. Weld, Knowledge Discovery and Data Mining, 7/2008 2008.)
• Intelligence in Wikipedia (D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, M. Skinner, AAAI Conference on Artificial Intelligence, 7/2008 2008.)
• Augmenting Wikipedia-Extraction with Results from the Web (F. Wu, R. Hoffmann, D. Weld, AAAI Conference on Artificial Intelligence, 7/2008 2008.)
• Predictability and Accuracy in Adaptive User Interfaces (K. Gajos, K. Everitt, D. Tan, M. Czerwinski, D. Weld, Conference on Human Factors in Computing Systems, 4/2008 2008.)
• Automatically Refining the Wikipedia Infobox Ontology (F. Wu, D. Weld, International World Wide Web Conference, 4/2008 2008.)
• Evaluating Visual Cues for Window Switching on Large Screens (R. Hoffmann, P. Baudisch, D. Weld, Conference on Human Factors in Computing Systems, 4/2008 2008.)
• Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces (K. Gajos, J. Wobbrock, D. Weld, Conference on Human Factors in Computing Systems, 4/2008 2008.)
• Recovering from Errors during Programming by Demonstration (J.H. Chen, D. Weld, International Conference on Intelligent User Interfaces, 1/2008 2008.)
• Planning with Durative Actions in Stochastic Domains (Mausam, D. Weld, Journal of Artificial Intelligence Research 31, 2008 2008.)
• Automatically Generating User Interfaces Adapted To User’s Motor And Vision Capabilities (K. Gajos, J. Wobbrock, D. Weld, Symposium on User Interface Software and Technology, 10/2007 2007.)
• Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers (R. Hoffmann, J. Fogarty, D. Weld, Symposium on User Interface Software and Technology, 10/2007 2007.)
• Autonomously Semantifying Wikipedia (F. Wu, D. Weld, ACM Conference on Information and Knowledge Management, 7/2007 2007.)
• When is temporal planning really temporal? (W. Cushing, S. Kambhampati,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 1/2007 2007.)
• A Hybridized Planner for Stochastic Domains (Mausam, P. Bertoli, D. Weld, International Joint Conference on Artificial Intelligence, 1/2007 2007.)
• Evaluating Temporal Planning Domains (W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld,  Mausam, International Conference on Automated Planning and Scheduling, 2007 2007.)
• Automatically Generating Custom User Interfaces for Users With Physical Disabilities (K. Gajos, J.J. Long, D. Weld, ACM SIGACCESS Conference on Assistive Technologies, 10/2006 2006.)
• Exploring the Design Space for Adaptive Graphical User Interfaces (K.Z. Gajos, M. Czerwinski, D.S. Tan, D.S. Weld, Proceedings of Advanced Visual Interfaces (AVI), Proceedings of Advanced Visual Interfaces (AVI), May 2006.) Downloads: http://research.microsoft.com/pubs/64306/avi2006-adaptiveui.pdf PDF
• Challenges for Temporal Planning with Uncertain Durations (Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2006 2006.)
• Probabilistic Temporal Planning with Uncertain Durations (Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2006 2006.)
• Preference Elicitation for Interface Optimization (K. Gajos, D. Weld, Symposium on User Interface Software and Technology, 10/2005 2005.)
• Unsupervised Named-Entity Extraction from the Web: An Experimental Study (O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, S. Soderland, D. Weld, A. Yates, T. Shaked, Artificial Intelligence, 6/2005 2005.)
• Concurrent Probabilistic Temporal Planning (Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2005 2005.)
• WebScale Information Extraction in KnowItAll (Preliminary Results) (O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D. Weld, A. Yates, International World Wide Web Conference, 5/2004 2004.)
• SUPPLE: Automatically Generating User Interfaces (K. Gajos, D. Weld, International Conference on Intelligent User Interfaces, 1/2004 2004.)
• Solving Concurrent Markov Decision Processes (Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2004 2004.)
• A Reliable Natural Language Interface To Household Appliances (A. Yates, O. Etzioni, D. Weld, International Conference on Intelligent User Interfaces, 1/2003 2003.)
• Research on Statistical Relational Learning at the University of Washington (P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. Wolfman, Proc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.)
• Relational Markov models and their application to adaptive Web navigation (C. Anderson, P. Domingos, D. Weld, Knowledge Discovery and Data Mining, 2002 2002.)