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Proper name disambiguation is an important step of search tasks in computational literary studies. Literary figures can be referenced in the text in various ways. Individual references differ in terms of morphological features, register, adopted terminology, or the context of use, among other things. A proper name disambiguation module makes it possible to detect proper names referring to persons and to indicate which of those refer to the same individuals.
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Proper name disambiguation is an important step of search tasks in computational literary studies. Literary figures can be referenced in the text in various ways. Individual references differ in terms of morphological features, register, adopted terminology, or the context of use, among other things. A proper name disambiguation module makes it possible to detect proper names referring to persons and to indicate which of those refer to the same individuals.
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Metrics: precision, recall, F-score (all macro)
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Metrics: precision, recall, F-score
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Labels: 53 named entity classes (one label per unique character) with 3 positional tokens: B-<CLASS> for the beginning of a named entity, I-<CLASS> for the inside of it, and O for non-entity tokens
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Labels: 53 named entity classes (one label per unique character) with 3 positional tokens: B-<CLASS> for the beginning of a named entity, I-<CLASS> for the inside of it, and O for non-entity tokens
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