Sciweavers

286 search results - page 28 / 58
» Learning taxonomic relations from a set of text documents
Sort
View
HICSS
2002
IEEE
191views Biometrics» more  HICSS 2002»
14 years 19 days ago
Mindmap: Utilizing Multiple Taxonomies and Visualization to Understand a Document Collection
We present a novel system and methodology for browsing and exploring topics and concepts within a document collection. The process begins with the generation of multiple taxonomie...
W. Scott Spangler, Jeffrey T. Kreulen, Justin Less...
EWCBR
2006
Springer
13 years 11 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
RWEB
2007
Springer
14 years 1 months ago
Semantic Descriptions in an Enterprise Search Solution
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
Uwe Crenze, Stefan Köhler, Kristian Hermsdorf...
CIKM
2008
Springer
13 years 9 months ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
EACL
2006
ACL Anthology
13 years 9 months ago
The GOD model
GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...
Alfio Massimiliano Gliozzo