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» Named Entity Relation Mining using Wikipedia
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IRAL
2003
ACM
13 years 10 months ago
Korean named entity recognition using HMM and CoTraining model
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang
CIKM
2008
Springer
13 years 7 months ago
Handling implicit geographic evidence for geographic ir
Most geographic information retrieval systems depend on the detection and disambiguation of place names in documents, assuming that the documents with a specific geographic scope ...
Nuno Cardoso, Mário J. Silva, Diana Santos
SIGIR
2010
ACM
13 years 3 months ago
Incorporating global information into named entity recognition systems using relational context
The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
Yuval Merhav, Filipe de Sá Mesquita, Denils...
ACL
2007
13 years 6 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 5 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li