The aim of this paper is to make a proposal for an automatic summarizer based on pragmatic profiles. It uses a traditional algorithm for the field/area of automatic summarization to be compared with the results of the profile algorithm. This methodology was developed to emphasize the importance of the word within each sentence as an index of grammatical development. In this way, we propose a classification of the original text in relation to its temporal measurements and textual composition vis a vis its formality, allowing for parameters to determine the level of compression automatically in order to generate the summary
The significance of automatic document summarization increases with the threat of information overlo...
Summarization is the process of creating a more compact textual representation of a document or a co...
Duża liczba zwracanych (na przykład przez różnego rodzaju wyszukiwarki internetowe) dokumentów ozna...
As the information on the internet continues to expand exponentially, machine learning, is becoming ...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
In this paper, I describe a method for evaluating automatically generated text summaries. The method...
A summary is a shortened version of a text that contains the main points of the original content. Au...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
Generation of linguistic summaries that are compact, short and relevant to the user remains an open ...
This work proposes an approach to address automatic text summarization. This approach is a trainable...
Today, with digitally stored information available in abundance, even for many less commonly spoken ...
In the following work we present a method for automated text summarization for Lithuanian language. ...
The need for text summarization is crucial as we enter the era of information overload. In this pape...
The significance of automatic document summarization increases with the threat of information overlo...
Summarization is the process of creating a more compact textual representation of a document or a co...
Duża liczba zwracanych (na przykład przez różnego rodzaju wyszukiwarki internetowe) dokumentów ozna...
As the information on the internet continues to expand exponentially, machine learning, is becoming ...
The present work explains the basic principles of automatic summarization, evaluation and fundamenta...
In this paper, I describe a method for evaluating automatically generated text summaries. The method...
A summary is a shortened version of a text that contains the main points of the original content. Au...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
Generation of linguistic summaries that are compact, short and relevant to the user remains an open ...
This work proposes an approach to address automatic text summarization. This approach is a trainable...
Today, with digitally stored information available in abundance, even for many less commonly spoken ...
In the following work we present a method for automated text summarization for Lithuanian language. ...
The need for text summarization is crucial as we enter the era of information overload. In this pape...
The significance of automatic document summarization increases with the threat of information overlo...
Summarization is the process of creating a more compact textual representation of a document or a co...
Duża liczba zwracanych (na przykład przez różnego rodzaju wyszukiwarki internetowe) dokumentów ozna...