| ITI əməkdaşlarının elmi işləri - məqalə |
| Biblioqrafik təsvir | |
| Aliguliyev , R.M. A new sentence similarity measure and sentence based extractive technique for automatic text summarization / R.M. Aliguliyev // Expert systems with applications. - 2009. - N: 04. - P. 7764-7772. | |
| Annotasiya | |
| The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presenting the user with a summary of each document greatly facilitates the task of finding the desired documents. Document summarization is a process of automatically creating a compressed version of a given document that provides useful information to users, and multi-document summarization is to produce a summary delivering the majority of information content from a set of documents about an explicit or implicit main topic. In our study we focus on sentence based extractive document summarization. We propose the generic document summarization method which is based on sentence clustering. | |
| Elektron variant | |
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