Menyu
ITI
əməkdaslarının elmi isləri
Elektron kitabxana
Konfranslar İnformasiya Sistemi
Qəzetlər
UOT 004
|
ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Alguliyev , R.M. A new similarity measure and mathematical model for text summarization / R.M. Alguliyev , R.M. Aliguliyev , N. Isazade // İnformasiya Texnologiyaları Problemləri. - 2015. - N: 1.- P. 42-53. | Annotasiya | This paper proposes a new text similarity measure and mathematical model for automatic text
summarization. Model consists of two stages. At the first stage, for detection of topics the
sentences in document collection are clustered. At the second stage, the model generates a
summary by extracting relevant sentences from each cluster. For clustering of sentences the kmeans
algorithm is utilized. Sentence selection process is formalized as an optimization problem.
To select relevant sentences from each cluster and avoid redundancy in the summary this model
uses both the sentence-to-cluster relation and the sentence-to-sentence relation. To solve the
optimization problem a differential evolution algorithm with adaptive mutation strategy is
developed. | Elektron variant | Elektron variant |
|
________
© ict.az http://ict.az/az
|
|