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» Using Collocations for Topic Segmentation and Link Detection
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NAACL
2003
13 years 8 months ago
Semantic Language Models for Topic Detection and Tracking
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Ramesh Nallapati
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 7 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...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 7 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
ECIR
2003
Springer
13 years 8 months ago
Topic Detection and Tracking with Spatio-Temporal Evidence
Topic Detection and Tracking is an event-based information organization task where online news streams are monitored in order to spot new unreported events and link documents with ...
Juha Makkonen, Helena Ahonen-Myka, Marko Salmenkiv...
CIKM
2006
Springer
13 years 11 months ago
Representing documents with named entities for story link detection (SLD)
Several information organization, access, and filtering systems can benefit from different kind of document representations than those used in traditional Information Retrieval (I...
Chirag Shah, W. Bruce Croft, David Jensen