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» Large-scale extraction and use of knowledge from text
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AH
2008
Springer
15 years 4 months ago
Collection Browsing through Automatic Hierarchical Tagging
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
Korinna Bade, Marcel Hermkes
DL
2000
Springer
164views Digital Library» more  DL 2000»
15 years 2 months ago
Scalable browsing for large collections: a case study
Phrase browsing techniques use phrases extracted automatically from a large information collection as a basis for browsing and accessing it. This paper describes a case study that...
Gordon W. Paynter, Ian H. Witten, Sally Jo Cunning...
DMIN
2008
134views Data Mining» more  DMIN 2008»
14 years 11 months ago
Political Leaning Categorization by Exploring Subjectivities in Political Blogs
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Maojin Jiang, Shlomo Argamon
BMCBI
2008
134views more  BMCBI 2008»
14 years 10 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
CIKM
2007
Springer
14 years 11 months ago
Proximity-based document representation for named entity retrieval
One aspect in which retrieving named entities is different from retrieving documents is that the items to be retrieved – persons, locations, organizations – are only indirect...
Desislava Petkova, W. Bruce Croft