Search
Abstract
The Polish language differs from English in many ways. It has more complicated conjugation and declination. Because of that automatic facts extraction from texts is difficult. In this paper we present basic differences between those languages. The paper presents an algorithm for extraction of facts from articles from Polish Wikipedia. The algorithm is based on 7 proposed facts schemes that are searched for in the analyzed text. The analysis includes morphosyntactic tagging, named entity extraction and relation identification. The results acquired for an exemplary Wikipedia text is presented. We indicate the free word formation principle as the main difficulty in the Polish texts analysis. At the same time satisfactory performance of the tagging and analysis tools for the Polish language was confirmed in the conducted experiment.
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
International Journal of Innovative Research in Computer and Communication Engineering
no. 2,
edition 8,
pages 5231 - 5234,
ISSN: 2320-9798 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Boiński T., Brzeski A.: Towards Facts Extraction From Texts in Polish Language// International Journal of Innovative Research in Computer and Communication Engineering. -Vol. 2., iss. 8 (2014), s.5231-5234
- Verified by:
- Gdańsk University of Technology
seen 77 times
Recommended for you
A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages
- N. Khairova,
- O. Mamyrbayev,
- N. Rizun
- + 2 authors
Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing
- N. Rizun,
- A. Revina,
- V. Maister