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COLING
2010
13 years 6 months ago
Multilingual Summarization Evaluation without Human Models
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...
Horacio Saggion, Juan Manuel Torres Moreno, Iria d...
TSD
2010
Springer
13 years 9 months ago
Evaluation of a Sentence Ranker for Text Summarization Based on Roget's Thesaurus
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...
Alistair Kennedy, Stan Szpakowicz
COLING
2002
13 years 11 months ago
Extracting Important Sentences with Support Vector Machines
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 ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
KES
2008
Springer
13 years 11 months ago
Improving Text Summarization Using Noun Retrieval Techniques
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multifunctional mechanism that produces good ...
Christos Bouras, Vassilis Tsogkas
AAAI
1998
14 years 24 days ago
Machine Learning of Generic and User-Focused Summarization
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 ...
Inderjeet Mani, Eric Bloedorn
NLUCS
2008
14 years 26 days ago
A Text Summarization Approach under the Influence of Textual Entailment
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...
Elena Lloret, Óscar Ferrández, Rafae...
LREC
2008
102views Education» more  LREC 2008»
14 years 26 days ago
Measures for Term and Sentence Relevances: an Evaluation for German
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...
Heike Bieler, Stefanie Dipper
CLEF
2006
Springer
14 years 1 months ago
Experiments on Applying a Text Summarization System for Question Answering
In this paper, we present and analyze the results of the application of a text summarization system
Pedro Paulo Balage Filho, Vinícius Rodrigue...
ECAI
2006
Springer
14 years 3 months ago
SUMMaR: Combining Linguistics and Statistics for Text Summarization
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...
Manfred Stede, Heike Bieler, Stefanie Dipper, Arth...
CIKM
2006
Springer
14 years 3 months ago
Concept frequency distribution in biomedical text summarization
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...
Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jona...