Approach for Thickening Sentence Score for Automatic Text Summarization

Approach for Thickening Sentence Score for Automatic Text Summarization

In our study we will use approach that combine Natural language processing NLP with Term occurrences to improve the quality of important sentences selection by thickening sentence score along with reducing the number of long sentences that would be included in the final summarization. There are sixteen known methods for automatic text summarization. In our paper we utilized Term frequency appro...

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...

Sentence Reduction for Automatic Text Summarization Motivation

We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system uses multiple sources of knowledge to decide which phrases in an extracted sentence can be removed, including syntactic knowledge, context information, and statistics computed from a corpus which consists of examples w...

Sentence Reduction for Automatic Text Summarization

We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system uses multiple sources of knowledge to decide which phrases in an extracted sentence can be removed, including syntactic knowledge, context information, and statistics computed from a corpus which consists of examples w...

An Additive FAHP based sentence score function for text summarization