Add to ORKGThe research on document summarization has been becoming attractive and important because of the explosive increase of the scientific information. In this paper, we try to develop a system framewo rk that focuses on performing a summarization of multiple papers on a specific domain which is considered more useful for reader to grasp the outline of a research domain
This paper discusses an sentence extraction approach to multi-document summarization that builds on ...
U.S.A. This paper discusses a text extraction approach to multi-document summarization that builds o...
Information is knowledge if it is rightly applied. Information are stored with different formats in ...
With the rapid growth of online information availability, it becomes more and more important to find...
With the rapid growth of the World Wide Web and online information services, more and more informati...
Problem statement: Text summarization can be of different nature ranging from indicative summary tha...
We present a natural language system which summarizes a series of news articles on the same event. I...
Abstract. This paper presents a methodology for summarization from multiple documents which are abou...
Text Summarization is a process that is to give the shorter version of a text document. For many res...
Summarization task is to produce a single summary across multiple documents returned from a search o...
This paper describes a new concept-based multi-document summarization system that employs discourse ...
This paper reports the design and evaluation of a method for summarizing a set of related research a...
This paper analyzes the topic identification stage of single-document automatic text summarization a...
We propose and develop a simple and efficient algorithm for generating extractive multi-document sum...
This paper discusses a text extraction approach to multi-document summarization that builds on singl...
This paper discusses an sentence extraction approach to multi-document summarization that builds on ...
U.S.A. This paper discusses a text extraction approach to multi-document summarization that builds o...
Information is knowledge if it is rightly applied. Information are stored with different formats in ...
With the rapid growth of online information availability, it becomes more and more important to find...
With the rapid growth of the World Wide Web and online information services, more and more informati...
Problem statement: Text summarization can be of different nature ranging from indicative summary tha...
We present a natural language system which summarizes a series of news articles on the same event. I...
Abstract. This paper presents a methodology for summarization from multiple documents which are abou...
Text Summarization is a process that is to give the shorter version of a text document. For many res...
Summarization task is to produce a single summary across multiple documents returned from a search o...
This paper describes a new concept-based multi-document summarization system that employs discourse ...
This paper reports the design and evaluation of a method for summarizing a set of related research a...
This paper analyzes the topic identification stage of single-document automatic text summarization a...
We propose and develop a simple and efficient algorithm for generating extractive multi-document sum...
This paper discusses a text extraction approach to multi-document summarization that builds on singl...
This paper discusses an sentence extraction approach to multi-document summarization that builds on ...
U.S.A. This paper discusses a text extraction approach to multi-document summarization that builds o...
Information is knowledge if it is rightly applied. Information are stored with different formats in ...