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» A Statistical Model for Topic Segmentation and Clustering
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AI
2008
Springer
13 years 7 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
SIGIR
2000
ACM
13 years 9 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...
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 5 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...
EMNLP
2010
13 years 3 months ago
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails
This work concerns automatic topic segmentation of email conversations. We present a corpus of email threads manually annotated with topics, and evaluate annotator reliability. To...
Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray,...
JACM
2010
208views more  JACM 2010»
13 years 3 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...