A proposal to automatically build and maintain gazetteers for Named Entity Recognition by using Wikipedia
|A proposal to automatically build and maintain gazetteers for Named Entity Recognition by using Wikipedia|
|Author(s)||A. Toral, R. Munoz|
|Published in||EACL 2006, 2006.|
|Keyword(s)||gazetteers, named-entities wikipedia|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
This paper describes a method to automatically create and maintain gazetteers for Named Entity Recognition (NER). This method extracts the necessary information from linguistic resources. Our approach is based on the analysis of an on-line encyclopedia entries by using a noun hierarchy and optionally a PoS tagger. An important motivation is to reach a high level of language independence. This restricts the techniques that can be used but makes the method useful for languages with few resources. The evaluation carried out proves that this approach can be successfully used to build NER gazetteers for location (F 78%) and person (F 68%) categories.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.