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      Seeding strategies for semantic disambiguation

      Hinze, Annika; Bainbridge, David; Wilkins, Rebekah; Taube-Schock, Craig; Downie, J. Stephen
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      DOI
       10.1145/3197026.3203874
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      Hinze, A., Bainbridge, D., Wilkins, R., Taube-Schock, C., & Downie, J. S. (2018). Seeding strategies for semantic disambiguation. In Proceedings of 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018) (pp. 343–344). Fort Worth, Texas: ACM. https://doi.org/10.1145/3197026.3203874
      Permanent Research Commons link: https://hdl.handle.net/10289/11931
      Abstract
      Semantic disambiguation determines the meaning of words and phrases in a text, for which we use an automatically-generated Concept-in-Context (CiC) network. Words and phrases rarely belong to a single concept; disambiguation in Capisco relies on interplay between words that are in close vicinity in the text. Starting the disambiguation is a seeding process, that identifies the first concepts, which then form the context for further disambiguation steps. This paper introduces the seeding algorithm and explores seeding strategies for identifying these initial concepts in text volumes, such as books, that are stored in a digital library.
      Date
      2018
      Type
      Conference Contribution
      Publisher
      ACM
      Rights
      © 2018 Copyright held by the author(s).
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      • Computing and Mathematical Sciences Papers [1455]
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