Names, Right or Wrong: Named Entities in an OCRed Historical Finnish Newspaper

Kimmo Tapio Kettunen, Teemu Petteri Ruokolainen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    Named Entity Recognition (NER), search, classification and tagging of names and name like frequent informational elements in texts, has become a standard information extraction procedure for textual data. NER has been applied to many types of texts and different types of entities: newspapers, fiction, historical records, persons, locations, chemical compounds, protein families, animals etc. In general a NER system’s performance is genre and domain dependent and also used entity categories vary [16]. The most general set of named entities is usually some version of three partite categorization of locations, persons and organizations. In this paper we report evaluation result of NER with data out of a digitized Finnish historical newspaper collection Digi. Experiments, results and discussion of this research serve development of the Web collection of historical Finnish newspapers

    Digi collection contains 1,960,921 pages of newspaper material from years 1771–1910 both in Finnish and Swedish. We use only material of Finnish documents in our evaluation. The OCRed newspaper collection has lots of OCR errors; its estimated word level correctness is about 70–75% [7]. Our baseline NER tagger is a rule-based tagger of Finnish, FiNER, provided by the FIN-CLARIN consortium. Three other available tools are also evaluated: a Finnish Semantic Tagger (FST), Connexor’s NER tool and Polyglot’s NER.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage
    Number of pages6
    Place of PublicationNew York
    PublisherACM
    Publication date1 Jun 2017
    Pages181-186
    ISBN (Electronic)978-1-4503-5265-9
    DOIs
    Publication statusPublished - 1 Jun 2017
    MoE publication typeA4 Article in conference proceedings
    EventDaTeCH 2017 - Göttingen, Germany
    Duration: 1 Jun 20172 Jun 2017

    Fields of Science

    • 113 Computer and information sciences

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