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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
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
RANLP
2003
13 years 6 months ago
A framework for named entity recognition in the open domain
In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be approp...
Richard J. Evans
EMNLP
2006
13 years 6 months ago
Joint Extraction of Entities and Relations for Opinion Recognition
We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinion-related entities -- ...
Yejin Choi, Eric Breck, Claire Cardie
CORR
2010
Springer
111views Education» more  CORR 2010»
13 years 4 months ago
Recognition and translation Arabic-French of Named Entities: case of the Sport places
The recognition of Arabic Named Entities (NE) is a problem in different domains of Natural Language Processing (NLP) like automatic translation. Indeed, NE translation allows the ...
Abdelmajid Ben Hamadou, Odile Piton, Héla F...