Abstract
In this paper we describe a method for finding relevant texts in historical documents. Instead of using keyword search, it computes the level of relevance between texts. Using a subset of documents that are known to be relevant, our method computes the degree of relevance between the pre-selected texts and the remaining texts in the document set. The potential texts of interest obtained from the computation are listed by their ranks and given to historians to confirm their relevance. The marked results are then fed back to the system to start the next iteration. We applied our method to find Taiwan-related entries in the Veritable Records of Qing, and discovered an additional 988 related entries which were not included in the volume of Veritable Records of Qing – Taiwan Collection (which contains 2989 entries).
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We would like to thank the anonymous referees for their useful comments.
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Sung, HH., Chen, JA., Hsiang, J. (2019). Finding Documents Related to Taiwan in the Veritable Records of Qing Using Relevance Feedback. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_24
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DOI: https://doi.org/10.1007/978-3-030-30760-8_24
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