Multi-document summarization via deep learning techniques: A survey
Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …
generates an informative and concise summary from a cluster of topic-related documents …
Automatic text summarization methods: A comprehensive review
Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …
maintaining the key information and its meaning. Automatic text summarization can save …
Recent automatic text summarization techniques: a survey
M Gambhir, V Gupta - Artificial Intelligence Review, 2017 - Springer
As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …
important information in the form of summary would benefit a number of users. Hence, there …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
Text summarization from legal documents: a survey
Enormous amount of online information, available in legal domain, has made legal text
processing an important area of research. In this paper, we attempt to survey different text …
processing an important area of research. In this paper, we attempt to survey different text …
SRL-ESA-TextSum: A text summarization approach based on semantic role labeling and explicit semantic analysis
M Mohamed, M Oussalah - Information Processing & Management, 2019 - Elsevier
Automatic text summarization attempts to provide an effective solution to today's
unprecedented growth of textual data. This paper proposes an innovative graph-based text …
unprecedented growth of textual data. This paper proposes an innovative graph-based text …
Two-phase multidocument summarization through content-attention-based subtopic detection
Multidocument summarization problem deals with extracting main information and ideas
from a set of related documents. Solution to this problem is to find an extraction strategy that …
from a set of related documents. Solution to this problem is to find an extraction strategy that …
Word-sentence co-ranking for automatic extractive text summarization
Extractive summarization aims to automatically produce a short summary of a document by
concatenating several sentences taken exactly from the original material. Due to its …
concatenating several sentences taken exactly from the original material. Due to its …
COSUM: Text summarization based on clustering and optimization
RM Alguliyev, RM Aliguliyev, NR Isazade… - Expert …, 2019 - Wiley Online Library
Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …
presenting that information to the user in a condensed form while preserving its main …
Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning
N Alami, M Meknassi, N En-Nahnahi - Expert systems with applications, 2019 - Elsevier
The vast amounts of data being collected and analyzed have led to invaluable source of
information, which needs to be easily handled by humans. Automatic Text Summarization …
information, which needs to be easily handled by humans. Automatic Text Summarization …