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INTERSPEECH
2010
13 years 2 months ago
2010
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
ICDM
2002
IEEE
14 years 20 days ago
2002
IEEE
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
ICDAR
2005
IEEE
14 years 1 months ago
2005
IEEE
We describe a method for identifying different writing styles of online handwritten characters based on clustering. The motivation of this experiment is to develop automatic chara...
CICLING
2008
Springer
13 years 9 months ago
2008
Springer
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...