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» Finding document topics for improving topic segmentation
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ERCIMDL
2004
Springer
120views Education» more  ERCIMDL 2004»
13 years 11 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...
ICASSP
2011
IEEE
12 years 9 months ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
LREC
2008
139views Education» more  LREC 2008»
13 years 7 months ago
Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retr
We have performed a set of experiments made to investigate the utility of morphological analysis to improve retrieval of documents written in languages with relatively large morph...
Jussi Karlgren, Hercules Dalianis, Bart Jongejan
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 6 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
ECIR
2009
Springer
14 years 2 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles