@inproceedings{369822743c394fd6a8d05d4a91511ab3,
title = "Automatically Detecting References from the Scholarly Literature to Records in Archives",
abstract = "Scholars use references in books and articles to materials found in archives as one way of finding those materials, but present systems for archival access do not exploit that information. To change that, the first step is to find archival references in the scholarly literature; that is the focus of this paper. Several classifier designs are compared using a few thousand manually annotated footnotes and endnotes assembled from a large set of open access papers on history. The results indicate that fairly high recall and precision can be achieved.",
keywords = "Archival references, Classification, Test collection",
author = "Tokinori Suzuki and Oard, {Douglas W.} and Emi Ishita and Yoichi Tomiura",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023 ; Conference date: 04-12-2023 Through 07-12-2023",
year = "2023",
doi = "10.1007/978-981-99-8088-8_9",
language = "English",
isbn = "9789819980871",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "100--107",
editor = "Goh, {Dion H.} and Shu-Jiun Chen and Suppawong Tuarob",
booktitle = "Leveraging Generative Intelligence in Digital Libraries",
address = "Germany",
}