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» Extracting Named Entities and Synonyms from Wikipedia
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AAAI
2007
13 years 7 months ago
Relation Extraction from Wikipedia Using Subtree Mining
The exponential growth and reliability of Wikipedia have made it a promising data source for intelligent systems. The first challenge of Wikipedia is to make the encyclopedia mac...
Dat P. T. Nguyen, Yutaka Matsuo, Mitsuru Ishizuka
BMCBI
2005
151views more  BMCBI 2005»
13 years 4 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
LREC
2008
153views Education» more  LREC 2008»
13 years 6 months ago
Building a Multilingual Lexical Resource for Named Entity Disambiguation, Translation and Transliteration
In this paper, we present HeiNER, the multilingual Heidelberg Named Entity Resource. HeiNER contains 1,547,586 disambiguated English Named Entities together with translations and ...
Wolodja Wentland, Johannes Knopp, Carina Silberer,...
ACL
2008
13 years 6 months ago
Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
Jun'ichi Kazama, Kentaro Torisawa
INFORMATICASI
2007
61views more  INFORMATICASI 2007»
13 years 4 months ago
Extracting Named Entities and Relating Them over Time Based on Wikipedia
Abhijit Bhole, Blaz Fortuna, Marko Grobelnik, Dunj...