@inproceedings{adams-etal-2023-anchors-embedding,
    title = "Anchors in Embedding Space: A Simple Concept Tracking Approach to Support Conceptual History Research",
    author = "Adams, Jetske  and
      Larson, Martha  and
      Verheul, Jaap  and
      Boyden, Michael",
    editor = "Tahmasebi, Nina  and
      Montariol, Syrielle  and
      Dubossarsky, Haim  and
      Kutuzov, Andrey  and
      Hengchen, Simon  and
      Alfter, David  and
      Periti, Francesco  and
      Cassotti, Pierluigi",
    booktitle = "Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2023.lchange-1.9/",
    doi = "10.18653/v1/2023.lchange-1.9",
    pages = "87--92",
    abstract = "We introduce a simple concept tracking approach to support conceptual history research. Building on the existing practices of conceptual historians, we use dictionaries to identify ``anchors'', which represent primary dimensions of meaning of a concept. Then, we create a plot showing how a key concept has evolved over time in a historical corpus in relation to these dimensions. We demonstrate the approach by plotting the change of several key concepts in the COHA corpus."
}