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» Combining concept hierarchies and statistical topic models
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95
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MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 5 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
SIGIR
2000
ACM
15 years 4 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
105
Voted
BIBE
2007
IEEE
169views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Combining Semantics, Context, and Statistical Evidence in Genomics Literature Search
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
Jay Urbain, Nazli Goharian, Ophir Frieder
TMRA
2005
Springer
15 years 5 months ago
Collaborative Software Development and Topic Maps
This work-in-progress report subsumes our ongoing research to develop a Topic Maps centric, modularised system which supports collaborative software development by combining the me...
Markus Ueberall, Oswald Drobnik
90
Voted
CORR
2000
Springer
129views Education» more  CORR 2000»
14 years 11 months ago
Prosody-Based Automatic Segmentation of Speech into Sentences and Topics
A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segm...
Elizabeth Shriberg, Andreas Stolcke, Dilek Z. Hakk...