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Um estudo comparativo de modelos baseados em estatísticas textuais, grafos e aprendizado de máquina para sumarização automática de textos em português
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2010-12-21)
Automatic text summarization has been of great interest in Natural Language Processing due to the need of processing a huge amount of information in short time, which is usually delivered through distinct media. Thus, ...
A complex network approach to text summarization
(ELSEVIER SCIENCE INC, 2009)
Automatic summarization of texts is now crucial for several information retrieval tasks owing to the huge amount of information available in digital media, which has increased the demand for simple, language-independent ...
A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier
There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it ...
CorrefSum: revisão da coesão referencial em sumários extrativos
(Universidade do Vale do Rio do Sinos, 2008-02-28)
With the advance of Internet technology we see the problem of information overload. In this context, automatic summarization is an important research area. Summarization
is the process of identifying the most relevant ...
CorrefSum: revisão da coesão referencial em sumários extrativos
(Universidade do Vale do Rio do Sinos, 2008-02-28)
With the advance of Internet technology we see the problem of information overload. In this context, automatic summarization is an important research area. Summarization
is the process of identifying the most relevant ...
Ground Truth Spanish Automatic Extractive Text Summarization Bounds
(Computación y Sistemas, 2020)
Extractive summarization using complex networks and syntactic dependency
(ELSEVIER SCIENCE BVAMSTERDAM, 2013-08-02)
The realization that statistical physics methods can be applied to analyze written texts represented as complex networks has led to several developments in natural language processing, including automatic summarization and ...
Extractive Automatic Text Summarization Based on Lexical-Semantic Keywords
(IEEE Access, 2020)
Evolutionary Automatic Text Summarization using Cluster Validation Indexes
(Computación y Sistemas, 2020)
Automatic text summarization with Maximal Frequent Sequences
(Universidad Autónoma del Estado de México, 2016)