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COLING
2010
14 years 4 months ago
Text Summarization of Turkish Texts using Latent Semantic Analysis
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-form...
Makbule Ozsoy, Ilyas Cicekli, Ferda Nur Alpaslan
CICLING
2011
Springer
14 years 1 months ago
Ranking Multilingual Documents Using Minimal Language Dependent Resources
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma
66
Voted
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 2 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
CIKM
2000
Springer
15 years 2 months ago
Creating and Evaluating Multi-Document Sentence Extract Summaries
This paper discusses passage extraction approaches to multidocument summarization that use available information about the document set as a whole and the relationships between th...
Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonel...
CLEF
2001
Springer
15 years 2 months ago
iCLEF 2001 at Maryland: Comparing Term-for-Term Gloss and MT
For the first interactive Cross-Language Evaluation Forum, the Maryland team focused on comparison of term-for-term gloss translation with full machine translation for the documen...
Jianqiang Wang, Douglas W. Oard