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» A Trainable Document Summarizer
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SIGIR
2008
ACM
13 years 7 months ago
Latent dirichlet allocation based multi-document summarization
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...
Rachit Arora, Balaraman Ravindran
ICDM
2009
IEEE
105views Data Mining» more  ICDM 2009»
14 years 2 months ago
Multi-document Summarization by Information Distance
—We are now living in a world where information is growing and updating quickly. Knowledge can be acquired more efficiently with the help of automatic document summarization and...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
FLAIRS
2008
13 years 9 months ago
Unsupervised Approach for Selecting Sentences in Query-based Summarization
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
Yllias Chali, Shafiq R. Joty
ICAIL
2009
ACM
14 years 6 days ago
Segmentation of legal documents
An overwhelming number of legal documents is available in digital form. However, most of the texts are usually only provided in a semi-structured form, i.e. the documents are stru...
Eneldo Loza Mencía
DRR
2009
13 years 5 months ago
Retrieval of historical documents by word spotting
The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the...
Nikoleta Doulgeri, Ergina Kavallieratou