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SIGIR
2002
ACM
15 years 4 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
128
Voted
SIGIR
2002
ACM
15 years 4 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
SIGIR
2002
ACM
15 years 4 months ago
Detecting and Browsing Events in Unstructured text
Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative docu...
David A. Smith
SIGIR
2002
ACM
15 years 4 months ago
Liberal relevance criteria of TREC -: counting on negligible documents?
Most test collections (like TREC and CLEF) for experimental research in information retrieval apply binary relevance assessments. This paper introduces a four-point relevance scal...
Eero Sormunen
SIGIR
2002
ACM
15 years 4 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha
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