Generic Text Summarization Using WordNet

Generic Text Summarization Using Wordnet for Novelty and Hard

An Extractive Approach of Text Summarization of Assamese using WordNet

Automatic text summarization means finding out the summary of one or more document by a computer program. The output text or the summary should contain the most important points of the original text without changing its meaning. In this report, we present an extractive approach of Text summarization of Assamese, a free word order inflectional Indic language, using WordNet. From our experiment, ...

WordNet-based Summarization of Unstructured Document

This paper presents an improved and practical approach to automatically summarizing unstructured document by extracting the most relevant sentences from plain text or html version of original document. This technique proposed is based upon Key Sentences using statistical method and WordNet. Experimental results show that our approach compares favourably to a commercial text summarizer, and some...

Automatic Text Summarization Using Lexical Clustering

The goal of automatic text summarization is to reduce the size of a document while preserving its content. We investigate a summarization method which uses not only statistical features but also the contextual meaning of documents by using lexical clustering. We present a new method to compute lexical cluster in a text without high cost knowledge resources; the WordNet thesaurus. Summarization ...

WordNet and Automated Text Summarization

Proposals for text classification and information retrieval have been recently presented making use of the WordNet ontology. Generally, this methodology requires statistical induction of synset clusters and entails costly training of specific key domains. The present proposal intends to show that a simple recursive evaluation procedure and WordNet are rich enough to obtain useful results in tex...