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ORCIDDaniel S. Weld
Daniel Sabby Weld
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- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2020
[j45]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics 8: 64-77 (2020)- [c145]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL 2020: 2270-2282 - [c144]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
S2ORC: The Semantic Scholar Open Research Corpus. ACL 2020: 4969-4983 - [c143]Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater:
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. CHI 2020: 1-13 - [c142]Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld:
The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. CIKM 2020: 3055-3062 - [c141]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR 2020: 1549-1552 - [i32]Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld:
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR abs/2003.04315 (2020) - [i31]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR abs/2004.07180 (2020) - [i30]Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier:
CORD-19: The Covid-19 Open Research Dataset. CoRR abs/2004.10706 (2020) - [i29]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i28]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. CoRR abs/2004.15011 (2020) - [i27]Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld:
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. CoRR abs/2005.01583 (2020) - [i26]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR abs/2005.12668 (2020) - [i25]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR abs/2006.06877 (2020) - [i24]Gagan Bansal, Tongshuang Wu, Joyce Zhu, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR abs/2006.14779 (2020) - [i23]Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CoRR abs/2009.14237 (2020)
2010 – 2019
- 2019
- [j44]Daniel S. Weld, Gagan Bansal:
The challenge of crafting intelligible intelligence. Commun. ACM 62(6): 70-79 (2019) - [j43]Tongshuang Wu, Daniel S. Weld, Jeffrey Heer:
Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis. ACM Trans. Comput. Hum. Interact. 26(4): 24:1-24:27 (2019) - [c140]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI 2019: 2429-2437 - [c139]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) 2019: 747-763 - [c138]Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney
, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz:
Guidelines for Human-AI Interaction. CHI 2019: 3 - [c137]Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CHI 2019: 531 - [c136]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. EMNLP/IJCNLP (1) 2019: 3691-3697 - [c135]Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld:
BERT for Coreference Resolution: Baselines and Analysis. EMNLP/IJCNLP (1) 2019: 5802-5807 - [c134]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) 2019: 3597-3608 - [i22]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - [i21]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR abs/1907.10529 (2019) - [i20]Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
BERT for Coreference Resolution: Baselines and Analysis. CoRR abs/1908.09091 (2019) - [i19]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. CoRR abs/1909.04054 (2019) - [i18]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
GORC: A large contextual citation graph of academic papers. CoRR abs/1911.02782 (2019) - 2018
- [c133]Gagan Bansal, Daniel S. Weld:
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI 2018: 1463-1470 - [c132]Christopher H. Lin, Mausam, Daniel S. Weld:
Active Learning with Unbalanced Classes and Example-Generation Queries. HCOMP 2018: 98-107 - [c131]James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. NAACL-HLT (2) 2018: 359-364 - [c130]Jonathan Bragg, Mausam, Daniel S. Weld:
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST 2018: 165-176 - [c129]Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun:
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. WWW 2018: 1693-1703 - [i17]Daniel S. Weld, Gagan Bansal:
Intelligible Artificial Intelligence. CoRR abs/1803.04263 (2018) - [i16]Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun:
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. CoRR abs/1803.09371 (2018) - [i15]James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. CoRR abs/1808.08622 (2018) - [i14]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR abs/1810.08854 (2018) - [i13]Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CoRR abs/1810.10733 (2018) - 2017
- [c128]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. ACL (1) 2017: 1601-1611 - [i12]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. CoRR abs/1705.03551 (2017) - 2016
- [c127]Christopher H. Lin, Mausam, Daniel S. Weld:
Re-Active Learning: Active Learning with Relabeling. AAAI 2016: 1845-1852 - [c126]Jonathan Bragg, Mausam, Daniel S. Weld:
Optimal Testing for Crowd Workers. AAMAS 2016: 966-974 - [c125]Shih-Wen Huang, Jonathan Bragg, Isaac Cowhey, Oren Etzioni, Daniel S. Weld:
Toward Automatic Bootstrapping of Online Communities Using Decision-theoretic Optimization. CSCW 2016: 581-593 - [c124]Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg, Daniel S. Weld:
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy. HCOMP 2016: 32-41 - [c123]Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld:
Effective Crowd Annotation for Relation Extraction. HLT-NAACL 2016: 897-906 - [i11]James Ferguson, Colin Lockard, Natalie Hawkins, Stephen Soderland, Hannaneh Hajishirzi, Daniel S. Weld:
University of Washington TAC-KBP 2016 System Description. TAC 2016 - [i10]Christopher H. Lin, Mausam, Daniel S. Weld:
A Programming Language With a POMDP Inside. CoRR abs/1608.08724 (2016) - 2015
- [j42]Congle Zhang, Stephen Soderland, Daniel S. Weld:
Exploiting Parallel News Streams for Unsupervised Event Extraction. Trans. Assoc. Comput. Linguistics 3: 117-129 (2015) - [j41]Xiao Ling, Sameer Singh, Daniel S. Weld:
Design Challenges for Entity Linking. Trans. Assoc. Comput. Linguistics 3: 315-328 (2015) - [c122]Daniel S. Weld:
Intelligent Control of Crowdsourcing. IUI 2015: 1 - [i9]Stephen Soderland, Natalie Hawkins, John Gilmer, Daniel S. Weld:
Combining Open IE and Distant Supervision for KBP Slot Filling. TAC 2015 - [i8]Raphael Hoffmann, Luke S. Zettlemoyer, Daniel S. Weld:
Extreme Extraction: Only One Hour per Relation. CoRR abs/1506.06418 (2015) - 2014
- [c121]Lydia B. Chilton, Juho Kim, Paul André, Felicia Cordeiro, James A. Landay, Daniel S. Weld, Steven P. Dow, Robert C. Miller, Haoqi Zhang:
Frenzy: collaborative data organization for creating conference sessions. CHI 2014: 1255-1264 - [c120]Mitchell Koch, John Gilmer, Stephen Soderland, Daniel S. Weld:
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments. EMNLP 2014: 1891-1901 - [c119]Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld:
Parallel Task Routing for Crowdsourcing. HCOMP 2014 - [c118]Christopher H. Lin, Mausam, Daniel S. Weld:
To Re(label), or Not To Re(label). HCOMP 2014 - [i7]Peng Dai, Mausam, Daniel Sabby Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. CoRR abs/1401.3910 (2014) - 2013
- [j40]Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld:
POMDP-based control of workflows for crowdsourcing. Artif. Intell. 202: 52-85 (2013) - [c117]Lydia B. Chilton, Greg Little, Darren Edge, Daniel S. Weld, James A. Landay:
Cascade: crowdsourcing taxonomy creation. CHI 2013: 1999-2008 - [c116]Xiao Ling, Peter Clark, Daniel S. Weld:
Extracting meronyms for a biology knowledge base using distant supervision. AKBC@CIKM 2013: 7-12 - [c115]Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, Luke S. Zettlemoyer:
Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves. EMNLP 2013: 289-299 - [c114]Congle Zhang, Daniel S. Weld:
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations. EMNLP 2013: 1776-1786 - [c113]Jonathan Bragg, Mausam, Daniel S. Weld:
Crowdsourcing Multi-Label Classification for Taxonomy Creation. HCOMP 2013 - [c112]Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay:
Frenzy: A Platform for Friendsourcing. HCOMP (Works in Progress / Demos) 2013 - [c111]Andrey Kolobov, Mausam, Daniel S. Weld:
Joint Crowdsourcing of Multiple Tasks. HCOMP (Works in Progress / Demos) 2013 - [c110]Christopher H. Lin, Mausam, Daniel S. Weld:
Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing. HCOMP (Works in Progress / Demos) 2013 - [i6]Stephen Soderland, John Gilmer, Robert Bart, Oren Etzioni, Daniel S. Weld:
Open Information Extraction to KBP Relations in 3 Hours. TAC 2013 - [i5]Denise L. Draper, Steve Hanks, Daniel S. Weld:
A Probabilistic Model of Action for Least-Commitment Planning with Information Gather. CoRR abs/1302.6801 (2013) - 2012
- [j39]Andrey Kolobov, Mausam, Daniel S. Weld:
Discovering hidden structure in factored MDPs. Artif. Intell. 189: 19-47 (2012) - [c109]Andrey Kolobov, Mausam, Daniel S. Weld:
LRTDP Versus UCT for Online Probabilistic Planning. AAAI 2012 - [c108]Christopher H. Lin, Mausam, Daniel S. Weld:
Dynamically Switching between Synergistic Workflows for Crowdsourcing. AAAI 2012 - [c107]Xiao Ling, Daniel S. Weld:
Fine-Grained Entity Recognition. AAAI 2012 - [c106]Congle Zhang, Raphael Hoffmann, Daniel S. Weld:
Ontological Smoothing for Relation Extraction with Minimal Supervision. AAAI 2012 - [c105]Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld:
Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors. ICAPS 2012 - [c104]Saleema Amershi, James Fogarty, Daniel S. Weld:
Regroup: interactive machine learning for on-demand group creation in social networks. CHI 2012: 21-30 - [c103]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. HCOMP@AAAI 2012 - [c102]Christopher H. Lin, Mausam, Daniel S. Weld:
Dynamically Switching between Synergistic Workflows for Crowdsourcing. HCOMP@AAAI 2012 - [c101]Daniel S. Weld, Eytan Adar, Lydia B. Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James A. Landay, Christopher H. Lin, Mausam:
Personalized Online Education - A Crowdsourcing Challenge. HCOMP@AAAI 2012 - [c100]Andrey Kolobov, Mausam, Daniel S. Weld:
A Theory of Goal-Oriented MDPs with Dead Ends. UAI 2012: 438-447 - [c99]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. UAI 2012: 491-500 - [i4]Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. CoRR abs/1210.4870 (2012) - [i3]Andrey Kolobov, Mausam, Daniel S. Weld:
A Theory of Goal-Oriented MDPs with Dead Ends. CoRR abs/1210.4875 (2012) - 2011
- [j38]Daniel S. Weld:
AAAI-10 Classic Paper Award: Systematic Nonlinear Planning A Commentary. AI Mag. 32(1): 101- (2011) - [j37]Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. J. Artif. Intell. Res. 42: 181-209 (2011) - [c98]Peng Dai, Mausam, Daniel S. Weld:
Artificial Intelligence for Artificial Artificial Intelligence. AAAI 2011 - [c97]Daniel S. Weld, Mausam, Peng Dai:
Human Intelligence Needs Artificial Intelligence. Human Computation 2011 - [c96]Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S. Zettlemoyer, Daniel S. Weld:
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. ACL 2011: 541-550 - [c95]Andrey Kolobov, Mausam, Daniel S. Weld, Hector Geffner:
Heuristic Search for Generalized Stochastic Shortest Path MDPs. ICAPS 2011 - [c94]Andrey Kolobov, Mausam, Daniel S. Weld:
Towards Scalable MDP Algorithms. IJCAI 2011: 2818-2819 - [c93]Daniel S. Weld, Mausam, Peng Dai:
Execution control for crowdsourcing. UIST (Adjunct Volume) 2011: 57-58 - [i2]Pedro M. Domingos, Sumit K. Sanghai, Daniel S. Weld:
Relational Dynamic Bayesian Networks. CoRR abs/1109.2137 (2011) - 2010
- [j36]Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer, Jeff A. Bilmes:
Panlingual lexical translation via probabilistic inference. Artif. Intell. 174(9-10): 619-637 (2010) - [j35]Krzysztof Z. Gajos, Daniel S. Weld, Jacob O. Wobbrock:
Automatically generating personalized user interfaces with Supple. Artif. Intell. 174(12-13): 910-950 (2010) - [c92]Peng Dai, Mausam, Daniel S. Weld:
Decision-Theoretic Control of Crowd-Sourced Workflows. AAAI 2010 - [c91]Andrey Kolobov, Mausam, Daniel S. Weld:
SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs. AAAI 2010 - [c90]Xiao Ling, Daniel S. Weld:
Temporal Information Extraction. AAAI 2010 - [c89]Fei Wu, Daniel S. Weld:
Open Information Extraction Using Wikipedia. ACL 2010: 118-127 - [c88]Raphael Hoffmann, Congle Zhang, Daniel S. Weld:
Learning 5000 Relational Extractors. ACL 2010: 286-295 - [c87]Andrey Kolobov, Mausam, Daniel S. Weld:
Classical Planning in MDP Heuristics: with a Little Help from Generalization. ICAPS 2010: 97-104 - [c86]Stefan Schoenmackers, Jesse Davis, Oren Etzioni, Daniel S. Weld:
Learning First-Order Horn Clauses from Web Text. EMNLP 2010: 1088-1098
2000 – 2009
- 2009
- [c85]Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff A. Bilmes:
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. ACL/IJCNLP 2009: 262-270 - [c84]Peng Dai, Mausam, Daniel S. Weld:
Focused Topological Value Iteration. ICAPS 2009 - [c83]Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld:
Amplifying community content creation with mixed initiative information extraction. CHI 2009: 1849-1858 - [c82]Peng Dai, Mausam, Daniel S. Weld:
Domain-Independent, Automatic Partitioning for Probabilistic Planning. IJCAI 2009: 1677-1683 - [c81]Andrey Kolobov, Mausam, Daniel S. Weld:
ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning. IJCAI 2009: 1746-1753 - [c80]Eytan Adar, Michael Skinner, Daniel S. Weld:
Information arbitrage across multi-lingual Wikipedia. WSDM 2009: 94-103 - [p2]Daniel S. Weld, Oren Etzioni:
The First Law of Robotics - (A Call to Arms). Safety and Security in Multiagent Systems 2009: 90-100 - [e3]Cristina Conati, Mathias Bauer, Nuria Oliver, Daniel S. Weld:
Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI 2009, Sanibel Island, Florida, USA, February 8-11, 2009. ACM 2009, ISBN 978-1-60558-168-2 [contents] - 2008
- [j34]Oren Etzioni, Michele Banko, Stephen Soderland, Daniel S. Weld:
Open information extraction from the web. Commun. ACM 51(12): 68-74 (2008) - [j33]Mausam, Daniel S. Weld:
Planning with Durative Actions in Stochastic Domains. J. Artif. Intell. Res. 31: 33-82 (2008) - [j32]Daniel S. Weld, Raphael Hoffmann, Fei Wu:
Using Wikipedia to bootstrap open information extraction. SIGMOD Rec. 37(4): 62-68 (2008) - [c79]Peng Dai, Mausam, Daniel S. Weld:
Partitioned External-Memory Value Iteration. AAAI 2008: 898-904 - [c78]Krzysztof Z. Gajos, Daniel S. Weld, Jacob O. Wobbrock:
Decision-Theoretic User Interface Generation. AAAI 2008: 1532-1536 - [c77]Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner:
Intelligence in Wikipedia. AAAI 2008: 1609-1614 - [c76]Raphael Hoffmann, Patrick Baudisch, Daniel S. Weld:
Evaluating visual cues for window switching on large screens. CHI 2008: 929-938 - [c75]Krzysztof Z. Gajos, Jacob O. Wobbrock, Daniel S. Weld:
Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces. CHI 2008: 1257-1266 - [c74]Krzysztof Z. Gajos, Katherine Everitt, Desney S. Tan, Mary Czerwinski, Daniel S. Weld:
Predictability and accuracy in adaptive user interfaces. CHI 2008: 1271-1274 - [c73]Stefan Schoenmackers, Oren Etzioni, Daniel S. Weld:
Scaling Textual Inference to the Web. EMNLP 2008: 79-88 - [c72]Jiun-Hung Chen, Daniel S. Weld:
Recovering from errors during programming by demonstration. IUI 2008: 159-168 - [c71]Fei Wu, Raphael Hoffmann, Daniel S. Weld:
Information extraction from Wikipedia: moving down the long tail. KDD 2008: 731-739 - [c70]Eytan Adar, Mira Dontcheva, James Fogarty, Daniel S. Weld:
Zoetrope: interacting with the ephemeral web. UIST 2008: 239-248 - [c69]Fei Wu, Daniel S. Weld:
Automatically refining the wikipedia infobox ontology. WWW 2008: 635-644 - 2007
- [c68]William Cushing, Daniel S. Weld, Subbarao Kambhampati, Mausam, Kartik Talamadupula:
Evaluating Temporal Planning Domains. ICAPS 2007: 105-112 - [c67]Fei Wu, Daniel S. Weld:
Autonomously semantifying wikipedia. CIKM 2007: 41-50 - [c66]William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld:
When is Temporal Planning Really Temporal? IJCAI 2007: 1852-1859 - [c65]Mausam, Piergiorgio Bertoli, Daniel S. Weld:
A Hybridized Planner for Stochastic Domains. IJCAI 2007: 1972-1978 - [c64]