Search
Search Results
-
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Due to the exponential growth of online information, the ability to efficiently extract the most informative content and target specific information...
-
State-of-the-art approach to extractive text summarization: a comprehensive review
With the rapid growth of social media platforms, digitization of official records, and digital publication of articles, books, magazines, and...
-
Auto-regressive extractive summarization with replacement
Auto-regressive extractive summarization approaches determine sentence extraction probability conditioning on previous decisions by maintaining a...
-
SeburSum: a novel set-based summary ranking strategy for summary-level extractive summarization
Summary-level extractive summarization is often regarded as a text-matching task, which selects the summary that is semantically closest to the...
-
A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
The availability of a large collection of text documents on a variety of topics, such as tweets, web pages, news articles, and stories, in different...
-
Graphs in clusters: a hybrid approach to unsupervised extractive long document summarization using language models
Effective summarization of long documents is a challenging task. When addressing this challenge, Graph and Cluster-Based methods stand out as...
-
A New Method for Extractive Text Summarization Using Neural Networks
Summarization aims at extracting the salient information from a document and presenting the extracted information in a condensed form. Most existing...
-
Enhancing metaheuristic based extractive text summarization with fuzzy logic
In today’s world as the data on the web is increasing it becomes a challenge to identify the relevant information. Automatic text summarization (ATS)...
-
Ensemble methods for improving extractive summarization of legal case judgements
Summarization of legal case judgement documents is a practical and challenging problem, for which many summarization algorithms of different...
-
Leveraging BERT for extractive text summarization on federal police documents
A document known as notitia criminis (NC) is use in the Brazilian Federal Police as the starting point of the criminal investigation. An NC aims to...
-
Graph-based extractive text summarization based on single document
Day by day, the amount of online and offline text data is growing tremendously from various sources like legal documents, medical documents, news...
-
Extractive text-image summarization with relation-enhanced graph attention network
Multi-modal summarization with multi-modal output (MSMO) aims to generate multi-modal summaries for a multi-modal document to improve readability of...
-
Jointly Extractive and Abstractive Training Paradigm for Text Summarization
Text summarization is a classical task in natural language generation, which aims to generate concise summary of the original article. Neural...
-
Structured abstract generator (SAG) model: analysis of IMRAD structure of articles and its effect on extractive summarization
An abstract is the most crucial element that may convince readers to read the complete text of a scientific publication. However, studies show that...
-
Topical Extractive Summarization
In this paper we propose a graph-based biased LexRank approach combined with topic modeling to create a topic-based extractive summarization model....
-
An approach of syntactical text graph representation learning for extractive summarization
There are advanced neural network architectures, such as: auto-encoding (AE), transformer, etc. have been recently applied and achieved remarkable...
-
Deep learning-based extractive text summarization with word-level attention mechanism
With the rise in the amount of textual data over the internet, the demand for summarizing it in a short, readable, easy-to-understand form has...
-
An Extractive Automatic Summarization Method for Chinese Long Text
The extractive automatic summarization method is capable of quickly and efficiently generating summaries through the steps of scoring, extracting and...
-
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization
Existing extractive summarization methods achieve state-of-the-art (SOTA) performance with pre-trained language models (PLMs) and sufficient training...
-
Extractive single-document summarization using adaptive binary constrained multi-objective differential evaluation
The incredible growth of the Internet has enhanced the research and development of automatic text summarization. Several approaches were proposed in...
