In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences. Experiments indicate that CCS is an efficient algorithm that is able to generate quality summaries online. © Springer-Verlag Berlin Heidelberg 2009
This paper discusses passage extraction approaches to multi-document summarization that use availabl...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
We show that by making use of information common to document sets belonging to a common category, we...
AbstractIn recent times, the requirement for the generation of multi-document summary has gained a l...
Automatic summarization is the process of presenting the contents of written documents in a short, c...
This paper discusses a text extraction approach to multi-document summarization that builds on singl...
U.S.A. This paper discusses a text extraction approach to multi-document summarization that builds o...
This paper discusses an sentence extraction approach to multi-document summarization that builds on ...
International audienceIn this paper, we present a novel approach for automatic summarization. CBSEAS...
In this thesis, I design a Maximum Coverage problem with KnaPsack constraint (MCKP) based model for ...
Publicly available data grows exponentially through web services and technological advancements. To ...
We present a new approach for summarizing clusters of documents on the same event, some of which are...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
Since 2001, the Document Understanding Conferences have been the forum for researchers in automatic ...
The exponential growth of information on the internet makes it troublesome for users to get valuable...
This paper discusses passage extraction approaches to multi-document summarization that use availabl...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
We show that by making use of information common to document sets belonging to a common category, we...
AbstractIn recent times, the requirement for the generation of multi-document summary has gained a l...
Automatic summarization is the process of presenting the contents of written documents in a short, c...
This paper discusses a text extraction approach to multi-document summarization that builds on singl...
U.S.A. This paper discusses a text extraction approach to multi-document summarization that builds o...
This paper discusses an sentence extraction approach to multi-document summarization that builds on ...
International audienceIn this paper, we present a novel approach for automatic summarization. CBSEAS...
In this thesis, I design a Maximum Coverage problem with KnaPsack constraint (MCKP) based model for ...
Publicly available data grows exponentially through web services and technological advancements. To ...
We present a new approach for summarizing clusters of documents on the same event, some of which are...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
Since 2001, the Document Understanding Conferences have been the forum for researchers in automatic ...
The exponential growth of information on the internet makes it troublesome for users to get valuable...
This paper discusses passage extraction approaches to multi-document summarization that use availabl...
Automatic summarization has advanced greatly in the past few decades. However, there remains a huge ...
We show that by making use of information common to document sets belonging to a common category, we...