Margaret E. Roberts

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Technology Enhanced Learning Systems

Natural Language Processing

Causal Inferences

Convolutional Neural Networks

Top Venues

J. Learn. Anal.

Publications

Megan Ayers, Luke Sanford, Margaret E. Roberts, Eddie Yang
Discovering influential text using convolutional neural networks. ACL (Findings) (2024)
Megan Ayers, Luke Sanford, Margaret E. Roberts, Eddie Yang
Discovering influential text using convolutional neural networks. CoRR (2024)
Jennifer Chien, Margaret E. Roberts, Berk Ustun
Algorithmic Censoring in Dynamic Learning Systems. EAAMO (2023)
Zachary S. Bischof, Kennedy Pitcher, Esteban Carisimo, Amanda Meng, Rafael Bezerra Nunes, Ramakrishna Padmanabhan, Margaret E. Roberts, Alex C. Snoeren, Alberto Dainotti
Destination Unreachable: Characterizing Internet Outages and Shutdowns. SIGCOMM (2023)
Jennifer Chien, Margaret E. Roberts, Berk Ustun
Algorithmic Censoring in Dynamic Learning Systems. CoRR (2023)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10 (2022)
Eddie Yang, Margaret E. Roberts
Censorship of Online Encyclopedias: Implications for NLP Models. CoRR (2021)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR (2021)
Eddie Yang, Margaret E. Roberts
Censorship of Online Encyclopedias: Implications for NLP Models. FAccT (2021)
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
Machine behaviour. Nat. 568 (7753) (2019)
Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern, Margaret E. Roberts, Amarnath Gupta
On Constructing a Knowledge Base of Chinese Criminal Cases. CoRR (2019)
Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern, Margaret E. Roberts, Amarnath Gupta
On Constructing a Knowledge Base of Chinese Criminal Cases. JURIX (2019)
Naoki Egami, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart
How to Make Causal Inferences Using Texts. CoRR (2018)
Amarnath Gupta, Alice Z. Wang, Kai Lin, Haoshen Hong, Haoran Sun, Benjamin L. Liebman, Rachel E. Stern, Subhasis Dasgupta, Margaret E. Roberts
Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics. JURIX (2017)
Pablo Suárez-Serrato, Margaret E. Roberts, Clayton A. Davis, Filippo Menczer
On the influence of social bots in online protests. Preliminary findings of a Mexican case study. CoRR (2016)
Pablo Suárez-Serrato, Margaret E. Roberts, Clayton A. Davis, Filippo Menczer
On the Influence of Social Bots in Online Protests - Preliminary Findings of a Mexican Case Study. SocInfo (2) (2016)
Jason Chuang, Margaret E. Roberts, Brandon M. Stewart, Rebecca Weiss, Dustin Tingley, Justin Grimmer, Jeffrey Heer
TopicCheck: Interactive Alignment for Assessing Topic Model Stability. HLT-NAACL (2015)
Justin Reich, Dustin Tingley, Jetson Leder-Luis, Margaret E. Roberts, Brandon M. Stewart
Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses. J. Learn. Anal. 2 (1) (2014)