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» Using Wikipedia for Automatic Word Sense Disambiguation
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JMLR
2010
108views more  JMLR 2010»
13 years 2 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 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...
ANLP
1994
112views more  ANLP 1994»
13 years 9 months ago
Tagging and Morphological Disambiguation of Turkish Text
Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In language...
Kemal Oflazer, Ilker Kuruöz
IPM
2010
131views more  IPM 2010»
13 years 6 months ago
Facet-based opinion retrieval from blogs
The paper presents methods of retrieving blog posts containing opinions about an entity expressed in the query. The methods use a lexicon of subjective words and phrases compiled ...
Olga Vechtomova
ACL
2008
13 years 9 months ago
Classification of Semantic Relationships between Nominals Using Pattern Clusters
There are many possible different semantic relationships between nominals. Classification of such relationships is an important and difficult task (for example, the well known nou...
Dmitry Davidov, Ari Rappoport