Contact

Daniel S. Weld
AC 474 (Zoom: 5348583561)
206-543-9196
weldcs.washington.edu
Areas of interest: 

Artificial intelligence, human computer interaction, natural language processing

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, 2022: 59-68.
 

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, 2022: 707–719.
 

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, 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, 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, 2022: 376-392.
 

2021

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, 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, 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), 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, 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), 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, 2021: 1–12.
 

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, 2021: 1–12.
 

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, 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, 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, 2021.
 

2020

TLDR: Extreme Summarization of Scientific Documents

I. Cachola, K. Lo, A. Cohan, D.S. Weld, Findings of EMNLP, 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, 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, 2020: 3055-3062.
 

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, 2020: 120–122.
 

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), 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), 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, 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, 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, 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, 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, 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, 2020.
 

2019

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, 2019: 5807–5812.
 

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, 2019: 3684–3690.
 

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, 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), 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, 2019: 3597-3608.
 

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, 2019.
 

The Challenge of Crafting Intelligible Intelligence

D.S. Weld, G. Bansal, CACM, 2019.
 

Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing

Q. Chen, J. Bragg, L. Chilton, D.S. Weld, CHI, 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, 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, 2019. **Statement regarding a co-author's conduct
 

2018

Sprout: Crowd-Powered Task Design for Crowdsourcing

J. Bragg,  Mausam, D.S. Weld, ACM Symposium on User Interface Software and Technology (UIST '18), 2018.
 

Active Learning with Unbalanced Classes & Example-Generation Queries

C. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation, 2018.
 

Semi-Supervised Event Extraction with Paraphrase Clusters

J. Ferguson, C. Lockard, D.S. Weld, H. Hajishirzi, NAACL-HLT, 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.
 

2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

M. Joshi, E. Choi, D.S. Weld, L. Zettlemoyer, ACL, 2017.
 

2016

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, 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), 2016.
 

Optimal Testing for Crowd Workers

J. Bragg,  Mausam, D.S. Weld, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016.
 

Re-active Learning: Active Learning with Relabeling

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 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, 2016.
 

2015

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, 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, 2015.
 

Learning on the Job: Optimal Instruction for Crowdsourcing

J. Bragg,  Mausam, D.S. Weld, ICML ’15 Workshop on Crowdsourcing and Machine Learning, 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, 2015.
 

Design Challenges for Entity Linking

X. Ling, S. Singh, D.S. Weld, Transactions of the Association for Computational Linguistics 3, 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, 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.
 

2014

To Re(label), or Not To Re(label)

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, 2014.
 

Parallel Task Routing for Crowdsourcing

J. Bragg, A. Kolobov,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, 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), 2014.
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, 2014.
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.
http://homes.cs.washington.edu/~xiaoling/papers/nwnlp14.pdf

2013

Crowdsourcing Multi-Label Classification for Taxonomy Creation

J. Bragg,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP), AAAI Press, 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, 2013.
 

Joint Crowdsourcing of Multiple Tasks

A. Kolobov,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP) Works in Progress Track, AAAI Press, 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), 2013.
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), 2013.
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), 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, 2013.
 

POMDP-based control of workflows for crowdsourcing

P. Dai, C. Lin,  Mausam, D.S. Weld, Artificial Intelligence 202, 2013.
 

Cascade: Crowdsourcing Taxonomy Creation

L.B. Chilton, G. Little, D. Edge, D.S. Weld, J.A. Landay, CHI, 2013.

http://hmslydia.com/my_publications/ChiltonCascadeCHI2013.pdf PDF

2012

Discovering Hidden Structure in Factored MDPs

A. Kolobov,  Mausam, D.S. Weld, Artificial Intelligence 189, 2012.
 

Crowdsourcing Control: Moving Beyond Multiple Choice

C.H. Lin,  Mausam, D.S. Weld, Conference on Uncertainty in Artificial Intelligence, 2012.
 

A Theory of Goal-Oriented MDPs with Dead Ends

A. Kolobov,  Mausam, D. Weld, Conference on Uncertainty in Artificial Intelligence (UAI), 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), 2012.
 

Dynamically Switching between Synergistic Workflows for Crowdsourcing

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 2012.
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, 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.
http://www.cs.washington.edu/ai/figer/figer.tar.gz Code

2011

Execution Control for Crowdsourcing

D. Weld,  Mausam, P. Dai, UIST, 2011.
 

Topological Value-Iteration Algorithms

P. Dai,  Mausam, J. Goldsmith, D. Weld, JAIR 42, 2011.
 

Artificial Intelligence for Artificial Artificial Intelligence

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2011.
 

Human Intelligence Needs Artificial Intelligence

D. Weld,  Mausam, P. Dai, Human Computation Workshop, 2011.
 

Towards Scalable MDP Algorithms

A. Kolobov,  Mausam, D. Weld, Twenty-Second International Joint Conference on Artificial Intelligence, AAAI Press, 2011.
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), 2011.
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, 2011.
 

Systematic Nonlinear Planning

D. Weld, AI Magazine 32:1, 2011.
 

2010

Learning First-Order Horn Clauses from Web Text

S. Schoenmackers, J. Davis, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2010.
 

Automatically generating personalized user interfaces with Supple

K.Z. Gajos, D.S. Weld, J.O. Wobbrock, Artificial Intelligence 174:12-13, 2010: 910-950.
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, 2010.
 

Temporal Information Extraction

X. Ling, D. Weld, AAAI Conference on Artificial Intelligence, 2010.

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, 2010.
 

Decision-Theoretic Control for Crowdsourced Workflows

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2010.
 

Learning 5000 Relational Extractors

R. Hoffmann, D. Weld, Annual Meeting of the Association for Computational Linguistics, 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, 2010.
 

Classical Planning in MDP Heuristics: With a Little Help from Generalization

A. Kolobov,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 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.
 

2009

Focused Topological Value Iteration

P. Dai,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 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, 2009.
 

ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning

A. Kolobov,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2009.
 

Domain-Independent, Automatic Partitioning for Probabilistic Planning

P. Dai,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 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, 2009.
 

2008

Open Information Extraction from the Web

O. Etzioni, S. Soderland, D. Weld, M. Banko, Communications of the ACM, 2008.
 

Scaling Textual Inference to the Web

S. Schoenmackers, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2008.
 

Partitioned External Memory Value Iteration

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2008.
 

Information Extraction from Wikipedia: Moving Down the long Tail

F. Wu, R. Hoffmann, D. Weld, Knowledge Discovery and Data Mining, 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, 2008.
 

Augmenting Wikipedia-Extraction with Results from the Web

F. Wu, R. Hoffmann, D. Weld, AAAI Conference on Artificial Intelligence, 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, 2008.
 

Automatically Refining the Wikipedia Infobox Ontology

F. Wu, D. Weld, International World Wide Web Conference, 2008.
 

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. Weld, Conference on Human Factors in Computing Systems, 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, 2008.
 

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. Weld, International Conference on Intelligent User Interfaces, 2008.
 

Planning with Durative Actions in Stochastic Domains

Mausam, D. Weld, Journal of Artificial Intelligence Research 31, 2008: 33 - 82.
 

2007

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, 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, 2007.
 

Autonomously Semantifying Wikipedia

F. Wu, D. Weld, ACM Conference on Information and Knowledge Management, 2007.
 

When is temporal planning really temporal?

W. Cushing, S. Kambhampati,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2007.
 

A Hybridized Planner for Stochastic Domains

Mausam, P. Bertoli, D. Weld, International Joint Conference on Artificial Intelligence, 2007.
 

Evaluating Temporal Planning Domains

W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld,  Mausam, International Conference on Automated Planning and Scheduling, 2007.
 

2006

Automatically Generating Custom User Interfaces for Users With Physical Disabilities

K. Gajos, J.J. Long, D. Weld, ACM SIGACCESS Conference on Assistive Technologies, 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), 2006.
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.
 

Probabilistic Temporal Planning with Uncertain Durations

Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2006.
 

2005

Preference Elicitation for Interface Optimization

K. Gajos, D. Weld, Symposium on User Interface Software and Technology, 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, 2005.
 

Concurrent Probabilistic Temporal Planning

Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2005.
 

2004

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, 2004.
 

SUPPLE: Automatically Generating User Interfaces

K. Gajos, D. Weld, International Conference on Intelligent User Interfaces, 2004.
 

Solving Concurrent Markov Decision Processes

Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2004.
 

2003

A Reliable Natural Language Interface To Household Appliances

A. Yates, O. Etzioni, D. Weld, International Conference on Intelligent User Interfaces, 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.
 

2002

Relational Markov models and their application to adaptive Web navigation

C. Anderson, P. Domingos, D. Weld, Knowledge Discovery and Data Mining, 2002.