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EMNLP
2004
13 years 6 months ago
LexPageRank: Prestige in Multi-Document Text Summarization
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Günes Erkan, Dragomir R. Radev
TSD
2010
Springer
13 years 3 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
DNIS
2005
Springer
102views Database» more  DNIS 2005»
13 years 10 months ago
An Improved Approach to Extract Document Summaries Based on Popularity
With the rapid growth of the Internet, most of the textual data in the form of newspapers, magazines and journals tend to be available on-line. Summarizing these texts can aid the...
P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao,...
IJCNLP
2005
Springer
13 years 10 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
LREC
2010
189views Education» more  LREC 2010»
13 years 6 months ago
Automatic Summarization Using Terminological and Semantic Resources
In this paper we present a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The te...
Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres M...