16 citations · 25 across the 8 of their papers we have counts for
8 papers
When are time series predictions causal? The potential system and dynamic causal effects
Jacob Carlson, Neil Shephard
The potential system is a nonparametric time series model for assessing the causal impact of moving an assignment at time on an outcome at future time , accounting for the…
Interpretable Discovery from Unstructured Data: A High-Dimensional Approach
Jacob Carlson
We propose an automatic, general-purpose framework for making discoveries from unstructured data (e.g., text data from open-ended surveys of economic beliefs). The framework levera…
A Unifying Framework for Robust and Efficient Inference with Unstructured Data
Jacob Carlson, Melissa Dell
To analyze unstructured data (text, images, audio, video), economists typically first extract low-dimensional structured features with a neural network. Neural networks do not make…
EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge
Tom Bryan, Jacob Carlson, Abhishek Arora +1
Billions of public domain documents remain trapped in hard copy or lack an accurate digitization. Modern natural language processing methods cannot be used to index, retrieve, and…
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
Melissa Dell, Jacob Carlson, Tom Bryan +7
Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts fr…
Efficient OCR for Building a Diverse Digital History
Jacob Carlson, Tom Bryan, Melissa Dell
Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence archite…
Dyadic Clustering in International Relations
Jacob Carlson, Trevor Incerti, P. M. Aronow
Quantitative empirical inquiry in international relations often relies on dyadic data. Standard analytic techniques do not account for the fact that dyads are not generally indepen…
LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis
Zejiang Shen, Ruochen Zhang, Melissa Dell +3
Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production…