Tracing Shifting Conceptual Vocabularies Through Time
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Publication Date
2017Journal Title
Lecture Notes in Computer Science
ISSN
0302-9743
ISBN
9783319586939
Pages
19-28
Type
Conference Object
This Version
AM
Metadata
Show full item recordCitation
Recchia, G., Jones, E., Nulty, P., Regan, J., & de Bolla, P. (2017). Tracing Shifting Conceptual Vocabularies Through Time. Lecture Notes in Computer Science, 19-28. https://doi.org/10.1007/978-3-319-58694-6_2
Abstract
This paper presents work in progress on an algorithm to track and identify changes in the vocabulary used to describe particular concepts over time, with emphasis on treating concepts as distinct from changes in word meaning. We apply the algorithm to word vectors generated from Google Books n-grams from 1800-1990 and evaluate the induced networks with respect to their flexibility (robustness to changes in vocabulary) and stability (they should not leap from topic to topic). We also describe work in progress using the British National Biography Linked Open Data Serials to construct a “ground truth” evaluation dataset for algorithms which aim to detect shifts in the vocabulary used to describe concepts. Finally, we discuss limitations of the proposed method, ways in which the method could be improved in the future, and other considerations.
Sponsorship
Cambridge Centre for Digital Knowledge, University of Cambridge
Funder references
Foundation for the Future ()
Identifiers
External DOI: https://doi.org/10.1007/978-3-319-58694-6_2
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287822
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