1 citations · 3 across the 6 of their papers we have counts for
6 papers
Composition and Deformance: Measuring Imageability with a Text-to-Image Model
Si Wu, David A. Smith
Although psycholinguists and psychologists have long studied the tendency of linguistic strings to evoke mental images in hearers or readers, most computational studies have applie…
Digital Editions as Distant Supervision for Layout Analysis of Printed Books
Alejandro H. Toselli, Si Wu, David A. Smith
Archivists, textual scholars, and historians often produce digital editions of historical documents. Using markup schemes such as those of the Text Encoding Initiative and EpiDoc,…
Contrastive Training for Models of Information Cascades
Shaobin Xu, David A. Smith
This paper proposes a model of information cascades as directed spanning trees (DSTs) over observed documents. In addition, we propose a contrastive training procedure that exploit…
Multilingual Topic Models
Kriste Krstovski, Michael J. Kurtz, David A. Smith +1
Scientific publications have evolved several features for mitigating vocabulary mismatch when indexing, retrieving, and computing similarity between articles. These mitigation stra…
Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems
Kriste Krstovski, David A. Smith, Michael J. Kurtz
Retrieval systems for scholarly literature offer the ability for the scientific community to search, explore and download scholarly articles across various scientific disciplines.…
Inference by Minimizing Size, Divergence, or their Sum
Sebastian Riedel, David A. Smith, Andrew McCallum
We speed up marginal inference by ignoring factors that do not significantly contribute to overall accuracy. In order to pick a suitable subset of factors to ignore, we propose thr…