Hócza András: Noun phrase recognition with tree patterns. In: Acta cybernetica, (16) 4. pp. 611-623. (2004)
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Abstract
This paper offers a method for the noun phrase recognition of Hungarian natural language texts based on machine learning methods. The approach learns noun phrase tree patterns described by regular expressions from an annotated corpus. The tree patterns are completed with probability values using error statistics. The noun phrase recognition parser tries to find the best-fitting trees for a sentence using backtracking technique. The results are used in an information extraction toolchain.
Item Type: | Article |
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Journal or Publication Title: | Acta cybernetica |
Date: | 2004 |
Volume: | 16 |
Number: | 4 |
ISSN: | 0324-721X |
Page Range: | pp. 611-623 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Conference on Hungarian Computational Linguistics (1.) (2003) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/38518/ |
Uncontrolled Keywords: | Számítástechnika, Nyelvészet - számítógép alkalmazása |
Additional Information: | Bibliogr.: p. 622-623. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences 06. Humanities 06. Humanities > 06.02. Languages and Literature |
Date Deposited: | 2016. Oct. 15. 12:25 |
Last Modified: | 2022. Jun. 15. 10:07 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12745 |
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