27 citations · 61 across the 10 of their papers we have counts for
12 papers
GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs
Ying-Hsiang Huang, Claire Gong, Shreya Shaji +10
Efforts over the past three decades have produced web archives containing billions of webpage snapshots and petabytes of data. The End of Term Web Archive alone contains, among oth…
Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
Jamie Mahowald, Benjamin Charles Germain Lee
Multimodal approaches have shown great promise for searching and navigating digital collections held by libraries, archives, and museums. In this paper, we introduce map-RAS: a ret…
A Use Case Lens on Digital Cultural Heritage
Gustavo Candela, Milena Dobreva, Henk Alkemade +10
This article proposes a novel methodological approach for developing use cases for CH e-infrastuctures documented using Jupyter Notebooks (JNs), enabling transparency and reproduci…
Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP
Jamie Mahowald, Benjamin Charles Germain Lee
Despite the prevalence and historical importance of maps in digital collections, current methods of navigating and exploring map collections are largely restricted to catalog recor…
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
Benjamin Charles Germain Lee
Within the cultural heritage sector, there has been a growing and concerted effort to consider a critical sociotechnical lens when applying machine learning techniques to digital c…
Grappling with the Scale of Born-Digital Government Publications: Toward Pipelines for Processing and Searching Millions of PDFs
Benjamin Charles Germain Lee, Trevor Owens
Official government publications are key sources for understanding the history of societies. Web publishing has fundamentally changed the scale and processes by which governments p…
Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals
Benjamin Charles Germain Lee, Joshua Ortiz Baco, Sarah H. Salter +1
This paper presents a computational method of analysis that draws from machine learning, library science, and literary studies to map the visual layouts of multi-ethnic newspapers…
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…
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America
Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway +6
Chronicling America is a product of the National Digital Newspaper Program, a partnership between the Library of Congress and the National Endowment for the Humanities to digitize…
LIMEADE: From AI Explanations to Advice Taking
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo +1
Research in human-centered AI has shown the benefits of systems that can explain their predictions. Methods that allow an AI to take advice from humans in response to explanations…
Improved Point Source Detection in Crowded Fields using Probabilistic Cataloging
Stephen K. N. Portillo, Benjamin C. G. Lee, Tansu Daylan +1
Cataloging is challenging in crowded fields because sources are extremely covariant with their neighbors and blending makes even the number of sources ambiguous. We present the fir…
Galaxy Redshifts from Discrete Optimization of Correlation Functions
Benjamin C. G. Lee, Tamás Budavári, Amitabh Basu +1
We propose a new method of constraining the redshifts of individual extragalactic sources based on celestial coordinates and their ensemble statistics. Techniques from integer line…