Abstract
We present a complex pipeline of natural language processing tools for Czech that performs extraction of basic facts presented in a text. The input for the tool is a plain text, the output contains verb and noun phrases with basic semantic classification. Automatic syntactic analysis of Czech plays a crucial role in the pipeline. In this paper, we describe the particular tools used in the system, then we give an example of its usage and conclude with a basic evaluation of the overall system accuracy.
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- 1.
For a full reference, see http://nlp.fi.muni.cz/projects/ajka/.
- 2.
For a full reference, see http://nlp.fi.muni.cz/projects/set.
- 3.
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Acknowledgements
This work has been partly supported by the Ministry of the Interior of Czech Republic within the project VF20102014003 and by the Czech Science Foundation under the projects P401/10/0792 and 407/07/0679.
We would like to thank to all our colleagues which participated on developing used tools and data sources.
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Baisa, V., Kovář, V. (2014). Information Extraction for Czech Based on Syntactic Analysis. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_13
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