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2020 – today
- 2022
[c16]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- [c15]Napol Rachatasumrit, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld:
CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading. IUI 2022: 707-719 - [i7]Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo:
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. CoRR abs/2203.00130 (2022) - [i6]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) - [i5]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) - 2021
- [c14]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 - [c13]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. NeurIPS 2021: 15787-15800 - [i4]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) - [i3]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) - [i2]Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. CoRR abs/2107.07170 (2021)
2010 – 2019
- 2019
- [c12]Quanze Chen, Jonathan Bragg, Lydia B. Chilton
, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CHI 2019: 531 - [c11]Jonathan Bragg, Emma Brunskill:
Fake It Till You Make It: Learning-Compatible Performance Support. UAI 2019: 915-924 - 2018
- [b1]Jonathan Bragg:
Self-Improving Crowdsourcing: Near-Effortless Design of Adaptive Distributed Work. University of Washington, USA, 2018 - [c10]Jonathan Bragg, Mausam, Daniel S. Weld:
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST 2018: 165-176 - [i1]Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CoRR abs/1810.10733 (2018) - 2017
- [c9]Meredith Ringel Morris, Jeffrey P. Bigham, Robin Brewer, Jonathan Bragg, Anand Kulkarni, Jessie Li, Saiph Savage:
Subcontracting Microwork. CHI 2017: 1867-1876 - [c8]Anand Sriraman, Jonathan Bragg, Anand Kulkarni:
Worker-Owned Cooperative Models for Training Artificial Intelligence. CSCW Companion 2017: 311-314 - 2016
- [c7]Jonathan Bragg, Mausam, Daniel S. Weld:
Optimal Testing for Crowd Workers. AAMAS 2016: 966-974 - [c6]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 - [c5]Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg, Daniel S. Weld:
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy. HCOMP 2016: 32-41 - [c4]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 - 2014
- [c3]Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld:
Parallel Task Routing for Crowdsourcing. HCOMP 2014 - 2013
- [c2]Jonathan Bragg, Mausam, Daniel S. Weld:
Crowdsourcing Multi-Label Classification for Taxonomy Creation. HCOMP 2013 - 2011
- [c1]Jonathan Bragg, Elaine Chew, Stuart M. Shieber:
Neo-Riemannian Cycle Detection with Weighted Finite-State Transducers. ISMIR 2011: 399-404 - 2010
- [j1]Jonathan Bragg, Cheng-Zhi Anna Huang:
Mathematics and Computation in Music 2009: John Clough Memorial Conference. Comput. Music. J. 34(1): 100-102 (2010)
Coauthor Index
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last updated on 2022-05-12 22:47 CEST by the dblp team
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