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» Automatic Topic Identification Using Ontology Hierarchy
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ACL
2006
13 years 9 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
ICWSM
2008
13 years 9 months ago
Wikipedia as an Ontology for Describing Documents
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
Zareen Saba Syed, Tim Finin, Anupam Joshi
ICCTA
2007
IEEE
13 years 7 months ago
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
Ataollah Ebrahimzadeh, Seyed Alireza Seyedin
IPM
2002
107views more  IPM 2002»
13 years 7 months ago
Combining evidence for automatic Web session identification
Contextual information provides an important basis for identifying and understanding users' information needs. Our previous work in traditional information retrieval systems ...
Daqing He, Ayse Göker, David J. Harper
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 8 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer