AIRS
2006
Springer
13 years 11 months ago
2006
Springer
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
SIGIR
1998
ACM
13 years 11 months ago
1998
ACM
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
CIKM
2000
Springer
13 years 11 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
SIGIR
2000
ACM
13 years 11 months ago
2000
ACM
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
SIGIR
2003
ACM
14 years 20 days ago
2003
ACM
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
IRAL
2003
ACM
14 years 20 days ago
2003
ACM
In this paper, we examine how to improve the precision and recall of document clustering by utilizing meta-data. We use meta-data through NewsML tags to assist clustering and show...
IRAL
2003
ACM
14 years 20 days ago
2003
ACM
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
SIGIR
2004
ACM
14 years 26 days ago
2004
ACM
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
WEBI
2005
Springer
14 years 27 days ago
2005
Springer
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
IJCNLP
2005
Springer
14 years 28 days ago
2005
Springer
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...