Abstract
We present Gemedoc, a platform for text similarity annotation based on the spatial and the thematic dimension. To this end, a two-step annotation protocol was designed to assess the similarity between two documents: (1) identification of salient features according to the two analysis dimensions; (2) similarity assessment according to a 4-degree scale. Ultimately, the labeled data retrieved from different corpora could be used as benchmark for text-mining applications.
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Gemedoc is available at http://gemedoc.jacquesfize.com/about.
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Fize, J., Roche, M., Teisseire, M. (2018). Gemedoc: A Text Similarity Annotation Platform. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_35
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DOI: https://doi.org/10.1007/978-3-319-91947-8_35
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