Daniel S. Weld

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 105

Top Venues

Publications

Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg
Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts. CoRR (2024)
Raymond Fok, Daniel S. Weld
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making. CoRR (2023)
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
The Semantic Scholar Open Data Platform. CoRR (2023)
Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. CoRR (2023)
Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR (2023)
Joyce Zhou, Elena Glassman, Daniel S. Weld
An Interactive UI to Support Sensemaking over Collections of Parallel Texts. CoRR (2023)
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR (2023)
Raymond Fok, Joseph Chee Chang, Tal August, Amy X. Zhang, Daniel S. Weld
Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries. CoRR (2023)
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld
Scim: Intelligent Skimming Support for Scientific Papers. IUI (2023)
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld
LIMEADE: From AI Explanations to Advice Taking. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) (2023)
Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI (2023)
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz
A Computational Inflection for Scientific Discovery. Commun. ACM 66 (8) (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CHI (2023)
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 (2022)
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) (2022)
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 (2022)
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. EMNLP (Demos) (2022)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP (2022)
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)
Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer
Few-shot Mining of Naturally Occurring Inputs and Outputs. CoRR (2022)
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)
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)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. Trans. Assoc. Comput. Linguistics 10 (2022)
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 Scientific Challenges and Directions. AAAI (2022)
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 (2022)
Napol Rachatasumrit, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld
CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading. IUI (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. CoRR (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. UIST (2022)
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 (2022)
Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare. CoRR (2022)
Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz
A Computational Inflection for Scientific Discovery. CoRR (2022)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) (2021)
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 (2021)
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 (2021)
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 (2021)
Quanze Chen, Daniel S. Weld, Amy X. Zhang
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
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)
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR (2021)
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR (2021)
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)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR (2021)
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 (2021)
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)
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)
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)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR (2021)
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)
Quanze Chen, Daniel S. Weld, Amy X. Zhang
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. CoRR (2021)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Optimizing AI for Teamwork. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
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)
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld
S2ORC: The Semantic Scholar Open Research Corpus. ACL (2020)
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR (2020)
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL (2020)
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)
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)
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)
Daniel King, Doug Downey, Daniel S. Weld
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR (2020)
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 (2020)
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 (2020)
Daniel King, Doug Downey, Daniel S. Weld
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR (2020)
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) (2020)
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
TLDR: Extreme Summarization of Scientific Documents. CoRR (2020)
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR (2020)
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 (2020)
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 (2020)
Benjamin Charles Germain Lee, Daniel S. Weld
Newspaper Navigator: Open Faceted Search for 1.5 Million Images. UIST (Adjunct Volume) (2020)
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)
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)
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR (2019)
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) (2019)
Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld
BERT for Coreference Resolution: Baselines and Analysis. EMNLP/IJCNLP (1) (2019)
Daniel S. Weld, Gagan Bansal
The challenge of crafting intelligible intelligence. Commun. ACM 62 (6) (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
A Case for Backward Compatibility for Human-AI Teams. CoRR (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP (2019)
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld
Pretrained Language Models for Sequential Sentence Classification. EMNLP/IJCNLP (1) (2019)
Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CHI (2019)
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld
GORC: A large contextual citation graph of academic papers. CoRR (2019)
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) (2019)
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld
Pretrained Language Models for Sequential Sentence Classification. CoRR (2019)
Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
BERT for Coreference Resolution: Baselines and Analysis. CoRR (2019)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) (2019)
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR (2018)
Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CoRR (2018)
James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi
Semi-Supervised Event Extraction with Paraphrase Clusters. NAACL-HLT (2) (2018)
Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. CoRR (2018)
Christopher H. Lin, Mausam, Daniel S. Weld
Active Learning with Unbalanced Classes and Example-Generation Queries. HCOMP (2018)
Daniel S. Weld, Gagan Bansal
Intelligible Artificial Intelligence. CoRR (2018)
Jonathan Bragg, Mausam, Daniel S. Weld
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST (2018)
Gagan Bansal, Daniel S. Weld
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI (2018)
James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi
Semi-Supervised Event Extraction with Paraphrase Clusters. CoRR (2018)
Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. WWW (2018)
Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. CoRR (2017)
Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. ACL (1) (2017)
Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld
Effective Crowd Annotation for Relation Extraction. HLT-NAACL (2016)
Christopher H. Lin, Mausam, Daniel S. Weld
Re-Active Learning: Active Learning with Relabeling. AAAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel S. Weld