Varga Dániel and Simon Eszter: Hungarian named entity recognition with a maximum entropy approach. In: Acta cybernetica, (18) 2. pp. 293-301. (2007)
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Abstract
In the analysis of natural language text a key step is named entity recognition, finding all complex noun phrases that denote persons, organizations, locations, and other entities designated by a name. In this paper we introduce the hunner open source language-independent named entity recognition system, and present results for Hungarian. When the input to hunner is already morphologically analyzed, we apply the system together with the hunpos morphological disambiguator, but hunner is also capable of working on raw (morphologically unanalyzed) text.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Acta cybernetica |
| Date: | 2007 |
| Volume: | 18 |
| Number: | 2 |
| ISSN: | 0324-721X |
| Page Range: | pp. 293-301 |
| Language: | English |
| Place of Publication: | Szeged |
| Event Title: | Conference on Hungarian Computational Linguistics (4.) (2006) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/38524/ |
| Uncontrolled Keywords: | Számítástechnika, Nyelvészet - számítógép alkalmazása |
| Additional Information: | Bibliogr.: p. 300-301. ; 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. 16. 14:13 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/12817 |
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