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» Ontology-based Text Document Clustering
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95
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IPM
2006
151views more  IPM 2006»
15 years 11 days ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
76
Voted
EMNLP
2008
15 years 1 months ago
One-Class Clustering in the Text Domain
Having seen a news title "Alba denies wedding reports", how do we infer that it is primarily about Jessica Alba, rather than about weddings or reports? We probably reali...
Ron Bekkerman, Koby Crammer
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...
CORR
2006
Springer
142views Education» more  CORR 2006»
15 years 13 days ago
Exploiting multilingual nomenclatures and language-independent text features as an interlingua for cross-lingual text analysis a
We are proposing a simple, but efficient basic approach for a number of multilingual and cross-lingual language technology applications that are not limited to the usual two or th...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
122
Voted
ICDAR
1997
IEEE
15 years 4 months ago
Enhancing Degraded Document Images via Bitmap Clustering and Averaging
Proper display and accurate recognition of document images are often hampered by degradations caused by poor scanning or transmission conditions. We propose a method to enhance su...
John D. Hobby, Tin Kam Ho