A Survey of Online Digital Newspaper and Genealogy Archives: Resources, Cost, and Access

Clark, Maribeth

doi:10.1017/s1752196314000170

Cited by 1 publication

(1 citation statement)

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“…The portal serves as a resource for various research activities. Cultural historians may track performances and events of their interest in a resource which is easily and openly accessible, as opposed to commercial databases or "relatively small collections of cultural heritage organizations whose online resources are isolated and difficult to search" (Clark, 2014). The database enables searching for the first historical usages of word terms.…”

Section: Chronicling Americamentioning

confidence: 99%

Challenging America: Modeling language in longer time scales

Pokrywka¹,

Graliński²,

Jassem³

et al. 2022

Findings of the Association for Computational Linguistics: NAACL 2022

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The aim of the paper is to apply, for historical texts, the methodology used commonly to solve various NLP tasks defined for contemporary data, i.e. pre-train and fine-tune large Transformer models. This paper introduces an ML challenge, named Challenging America (Chal-lAm), based on OCR-ed excerpts from historical newspapers collected from the Chronicling America portal. ChallAm provides a dataset of clippings, labeled with metadata on their origin, and paired with their textual contents retrieved by an OCR tool. Three, publicly available, ML tasks are defined in the challenge: to determine the article date, to detect the location of the issue, and to deduce a word in a text gap (cloze test). Strong baselines are provided for all three ChallAm tasks. In particular, we pretrained a RoBERTa model from scratch from the historical texts. We also discuss the issues of discrimination and hate-speech present in the historical American texts.

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Section: Chronicling Americamentioning

confidence: 99%