Identifying Causal Influences on Publication Trends and Behavior: A Case
Study of the Computational Linguistics Community

Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community

15 October 2021

Svitlana Volkova

Papers citing "Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community"

18 / 18 papers shown

Title
VAINE: Visualization and AI for Natural Experiments G. Guo M. Glenski Z. Shaw Emily Saldanha Alex Endert Svitlana Volkova Dustin L. Arendt CML 75 8 0 09 Sep 2021
Causal Effects of Linguistic Properties Reid Pryzant Dallas Card Dan Jurafsky Victor Veitch Dhanya Sridhar CML 62 48 0 24 Oct 2020
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference Galen Cassebeer Weld Peter West M. Glenski David Arbour Ryan Rossi Tim Althoff CML 48 20 0 21 Sep 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates Katherine A. Keith David D. Jensen Brendan O'Connor CML 37 114 0 01 May 2020
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data A. Gentzel Dan Garant David D. Jensen CML ELM 44 46 0 11 Oct 2019
The Diversity-Innovation Paradox in Science Bas Hofstra V. V. Kulkarni Sebastian Munoz-Najar Galvez Bryan He Dan Jurafsky Daniel A. McFarland 67 675 0 04 Sep 2019
Causal Discovery Toolbox: Uncover causal relationships in Python Diviyan Kalainathan Olivier Goudet CML 51 82 0 06 Mar 2019
Challenges of Using Text Classifiers for Causal Inference Zach Wood-Doughty I. Shpitser Mark Dredze CML 44 73 0 01 Oct 2018
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction Yi Luan Luheng He Mari Ostendorf Hannaneh Hajishirzi 107 682 0 29 Aug 2018
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data N. Alipourfard Peter G. Fennell Kristina Lerman 28 19 0 08 May 2018
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis Y. Shimoni C. Yanover Ehud Karavani Yaara Goldschmidt CML 48 55 0 14 Feb 2018
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 168 286 0 09 Jul 2017
A Review on Algorithms for Constraint-based Causal Discovery Kui Yu Jiuyong Li Lin Liu AI4TS CML 36 22 0 12 Nov 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 352 2,483 0 14 Oct 2015
Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij J. Peters Dominik Janzing Jakob Zscheischler Bernhard Schölkopf CML 117 138 0 11 Dec 2014
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks Bryon Aragam Qing Zhou CML 112 107 0 04 Jan 2014
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 118 605 0 14 Nov 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 90 424 0 14 Apr 2011

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