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CIKM
2006
Springer
15 years 1 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...
IUI
2003
ACM
15 years 3 months ago
Abbreviated text input
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on PDAs or cell phones or by disabled users) by taking a...
Stuart M. Shieber, Ellie Baker
ACL
1998
14 years 11 months ago
Automatic Text Summarization Based on the Global Document Annotation
The GDA (Global Document Annotation) project proposes a tag set which allows machines to automatically infer the underlying semantic/pragmatic structure of documents. Its objectiv...
Katashi Nagao, Kôiti Hasida
85
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CIKM
2010
Springer
14 years 8 months ago
Index structures for efficiently searching natural language text
Many existing indexes on text work at the document granularity and are not effective in answering the class of queries where the desired answer is only a term or a phrase. In this...
Pirooz Chubak, Davood Rafiei
ECAI
2010
Springer
14 years 8 months ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt