COLING
2010
12 years 11 months ago
2010
We study correlation of rankings of text summarization systems using evaluation methods with and without human models. We apply our comparison framework to various well-establishe...
TSD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system c...
COLING
2002
13 years 4 months ago
2002
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
KES
2008
Springer
13 years 4 months ago
2008
Springer
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multifunctional mechanism that produces good ...
AAAI
1998
13 years 5 months ago
1998
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...
NLUCS
2008
13 years 5 months ago
2008
Abstract. This paper presents how text summarization can be influenced by textual entailment. We show that if we use textual entailment recognition together with text summarization...
LREC
2008
13 years 6 months ago
2008
Terms, term relevances, and sentence relevances are concepts that figure in many NLP applications, such as Text Summarization. These concepts are implemented in various ways, thou...
CLEF
2006
Springer
13 years 6 months ago
2006
Springer
In this paper, we present and analyze the results of the application of a text summarization system
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We describe a text summarization system that moves beyond standard approaches by using a hybrid approach of linguistic and statistical analysis and by employing text-sort...
CIKM
2006
Springer
13 years 8 months ago
2006
Springer
Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core inform...