Leander Heldring — accepted AI-conference papers

2024

Contrastive Entity Coreference and Disambiguation for Historical Texts

Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring

EMNLP 2024main

Massive-scale historical document collections are crucial for social science research. Despite increasing digitization, these documents typically lack unique cross-document identifiers for individuals mentioned within the texts, as well as individual identifiers from external knowledge bases like Wi…

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2023

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers

Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen +4

NeurIPS 2023poster

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 from articles, headlines, captions, advertisements, and other layout regions. OCR quality can also be low. This study deve…

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