TY - GEN
T1 - Automatically Detecting References from the Scholarly Literature to Records in Archives
AU - Suzuki, Tokinori
AU - Oard, Douglas W.
AU - Ishita, Emi
AU - Tomiura, Yoichi
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1007/978-981-99-8088-8_9
DO - 10.1007/978-981-99-8088-8_9
M3 - Conference contribution
AN - SCOPUS:85180148925
SN - 9789819980871
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 100
EP - 107
BT - Leveraging Generative Intelligence in Digital Libraries
A2 - Goh, Dion H.
A2 - Chen, Shu-Jiun
A2 - Tuarob, Suppawong
PB - Springer Science and Business Media Deutschland GmbH
T2 - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023
Y2 - 4 December 2023 through 7 December 2023
ER -