«automatic text summarization»
۲۳۶۷ نتیجهAutomatic Text Summarization in TIPSTER
Automatic Text Summarization was added as a major research thrust of the TIPSTER program during TIPSTER Phase III, 1996-1998. It is a natural extension of the previously supported research efforts in Information Extraction (IE) and Information Retrieval (IR). There is considerabl
A Survey on Automatic Text Summarization
The increasing availability of online information has necessitated intensive research in the area of automatic text summarization within the Natural Language Processing (NLP) community. Over the past half a century, the problem has been addressed from many different perspectives,
Generalized minimum dominating set and application in automatic text summarization
For a graph formed by vertices and weighted edges, a generalized minimum dominating set (MDS) is a vertex set of smallest cardinality such that the summed weight of edges from each outside vertex to vertices in this set is equal to or larger than certain threshold value. This gen
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 summariza
Improve the Quality of Important Sentences for Automatic Text Summarization
There are sixteen known methods for automatic text summarization. In our study we will use Natural language processing NLP within hybrid approach that will improve the quality of important sentences selection by thickening sentence score along with reducing the number of long sen
Automatic Text Summarization Using Two-Step Sentence Extraction
Automatic text summarization sets the goal at reducing the size of a document while preserving its content. Our summarization system is based on Two-step Sentence Extraction. As it combines statistical methods and reduces noise data through two steps efficiently, it can achieve h
On (Commercial) Benefits of Automatic Text Summarization Systems in the News Domain: A Case of Media Monitoring and Media Response Analysis
In this work, we present the results of a systematic study to investigate the (commercial) benefits of automatic text summarization systems in a real world scenario. More specifically, we define a use case in the context of media monitoring and media response analysis and claim t
A new sentence similarity measure and sentence based extractive technique for automatic text summarization
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 o
Representing discourse for automatic text summarization via shallow NLP techniques
In this thesis I have addressed the problem of text summarization from a linguistic perspective. After reviewing some work in the area, I have found that many satisfactory approaches to text summarization rely on general properties of language that are reflected in the surface re
Automatic Text Summarization Based on the Global Document Annotation
The GDA (Glol)al Do(:ument Annotation) t)roject t)roposes a tag set which allows machines to automatically infer the underlying semantic/pragmatic structure of documents. Its objectives are to promote development and spread of N L P / A I at)plications to render GDA-tagged do(:um