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» Combining concept hierarchies and statistical topic models
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ERCIMDL
2004
Springer
120views Education» more  ERCIMDL 2004»
15 years 5 months ago
Towards Topic Driven Access to Full Text Documents
We address the issue of providing topic driven access to full text documents. The methodology we propose is a combination of topic segmentation and information retrieval techniques...
Caterina Caracciolo, Willem Robert van Hage, Maart...
97
Voted
TKDE
2011
330views more  TKDE 2011»
14 years 6 months ago
Effective Navigation of Query Results Based on Concept Hierarchies
— Search queries on biomedical databases, such as PubMed, often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization...
Abhijith Kashyap, Vagelis Hristidis, Michalis Petr...
SAC
2011
ACM
14 years 2 months ago
Biomedical concept extraction based on combining the content-based and word order similarities
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition. ...
Duy Dinh, Lynda Tamine
NIPS
2003
15 years 29 days ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 11 hour ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar