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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Classification of Historical Notary Acts with Noisy Labels
verfasst von : Julia Efremova, Alejandro Montes García, Toon Calders
Erschienen in: Advances in Information Retrieval
Verlag: Springer International Publishing
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This paper approaches the problem of automatic classification of real-world historical notary acts from the 14
th
to the 20
th
century. We deal with category ambiguity, noisy labels and imbalanced data. Our goal is to assign an appropriate category for each notary act from the archive collection. We investigate a variety of existing techniques and describe a framework for dealing with noisy labels which includes category resolution, evaluation of inter-annotator agreement and the application of a two level classification. The maximum accuracy we achieve is 88%, which is comparable to the agreement between human annotators.