Abstract
This paper deals with the treatment of Named Entities (NEs) in Czech. We introduce a two-level NE classification. We have used this classification for manual annotation of two thousand sentences, gaining more than 11,000 NE instances. Employing the annotated data and Machine-Learning techniques (namely the top-down induction of decision trees), we have developed and evaluated a software system aimed at automatic detection and classification of NEs in Czech texts.
The research reported on in this paper was supported by the projects 1ET101120503, MSM0021620838, MSMT CR LC536, GD201/05/H014, and GA UK 643/2007.
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Ševčíková, M., Žabokrtský, Z., Krůza, O. (2007). Named Entities in Czech: Annotating Data and Developing NE Tagger. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_26
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DOI: https://doi.org/10.1007/978-3-540-74628-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74627-0
Online ISBN: 978-3-540-74628-7
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