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An Integrated Approach Using Conditional Random Fields for Named Entity Recognition and Person Property Extraction in Vietnamese Text
- Source :
- IALP
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- Personal names are among one of the most frequently searched items in web search engines and a person entity is always associated with numerous properties. In this paper, we propose an integrated model to recognize person entity and extract relevant values of a pre-defined set of properties related to this person simultaneously for Vietnamese. We also design a rich feature set by using various kind of knowledge resources and a apply famous machine learning method CRFs to improve the results. The obtained results show that our method is suitable for Vietnamese with the average result is 84 % of precision, 82.56% of recall and 83.39 % of F-measure. Moreover, performance time is pretty good, and the results also show the effectiveness of our feature set.
- Subjects :
- Conditional random field
Recall
Property (programming)
business.industry
Computer science
Vietnamese
Integrated approach
computer.software_genre
language.human_language
Set (abstract data type)
Named-entity recognition
language
Artificial intelligence
CRFS
business
computer
Natural language processing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 International Conference on Asian Language Processing
- Accession number :
- edsair.doi...........556ae4bd0a1cb79da53a25727b4f6b3e