Generic Text Summarization for Turkish

Generic Text Summarization Using WordNet

This paper presents a WordNet based approach to text summarization. The document to be summarized is used to extract a “relevant” sub-graph from the WordNet graph. Weights are assigned to each node of this sub-graph using a strategy similar to the Google Pageranking algorithm. These weights capture the relevance of the respective synsets with respect to the whole document. A matrix in which eac...

A Turkish Automatic Text Summarization System

The system developed in this study uses a Turkish text as input, and after the implementation of a sequence of procedures the summary results accomplishing the target sentence length. The study has been specialized to obtain more significant results for the articles on economic matters. We converted the context of all papers into HTML documents to provide the formal structures. The training sys...

A Survey to Text Summarization Methods for Turkish

Nowadays, people deal with a huge amount of data, especially while they are surfing on internet. So, this makes the topic of automatic summarization is very important and in the forefront. In this paper, a review for text summarization methods in Turkish is presented. Brief summary of the methods used for automatic text summarization in the literature, and also brief definitions of summary, abs...

Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization

    Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...

Generic Text Summarization Using Wordnet for Novelty and Hard