Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDDaniel S. Weld
Daniel Sabby Weld
Person information
- affiliation: University of Washington, Seattle, Washington, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j47]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King
, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022)- [c160]Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring the Role of Local and Global Explanations in Recommender Systems. CHI Extended Abstracts 2022: 290:1-290:7 - [c159]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CHI 2022: 302:1-302:23 - [c158]Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. CHI 2022: 309:1-309:13 - [c157]Napol Rachatasumrit, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld:
CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading. IUI 2022: 707-719 - [i49]Daniel King, Zejiang Shen, Nishant Subramani, Daniel S. Weld, Iz Beltagy, Doug Downey:
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. CoRR abs/2203.08436 (2022) - [i48]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CoRR abs/2204.10254 (2022) - [i47]Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld:
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare. CoRR abs/2204.13194 (2022) - [i46]Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz:
A Computational Inflection for Scientific Discovery. CoRR abs/2205.02007 (2022) - [i45]Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer:
Few-shot Mining of Naturally Occurring Inputs and Outputs. CoRR abs/2205.04050 (2022) - [i44]Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld:
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. CoRR abs/2205.04561 (2022) - [i43]Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey:
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR abs/2205.06982 (2022) - 2021
- [j46]Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 1-25 (2021) - [c156]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI 2021: 11405-11414 - [c155]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) 2021: 6707-6723 - [c154]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC 2021 - [c153]Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine N. van Zuylen, Linda Wagner, Daniel S. Weld:
SciA11y: Converting Scientific Papers to Accessible HTML. ASSETS 2021: 85:1-85:4 - [c152]Gagan Bansal, Tongshuang Wu, Joyce Zhou, 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. CHI 2021: 81:1-81:16 - [c151]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. CHI 2021: 413:1-413:18 - [c150]Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi:
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT 2021: 4489-4503 - [i42]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR abs/2101.00288 (2021) - [i41]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i40]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i39]Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld:
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users. CoRR abs/2105.00076 (2021) - [i38]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR abs/2106.00676 (2021) - [i37]Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. CoRR abs/2108.01799 (2021) - [i36]Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR abs/2108.05669 (2021) - [i35]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR abs/2108.13751 (2021) - [i34]Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR abs/2109.13301 (2021) - 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) - [c149]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL 2020: 2270-2282 - [c148]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
S2ORC: The Semantic Scholar Open Research Corpus. ACL 2020: 4969-4983 - [c147]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 - [c146]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 - [c145]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) 2020: 135-143 - [c144]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. SDP@EMNLP 2020: 196-206 - [c143]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) 2020: 4766-4777 - [c142]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR 2020: 1549-1552 - [c141]Benjamin Charles Germain Lee, Daniel S. Weld:
Newspaper Navigator: Open Faceted Search for 1.5 Million Images. UIST (Adjunct Volume) 2020: 120-122 - [i33]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) - [i32]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) - [i31]Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. 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) - [i30]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i29]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. CoRR abs/2004.15011 (2020) - [i28]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) - [i27]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) - [i26]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR abs/2006.06877 (2020) - [i25]Gagan Bansal, Tongshuang Wu, Joyce Zhou, 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) - [i24]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) - [i23]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. CoRR abs/2010.05129 (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 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 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 I