A Survey of Automatic Text Summarization Using Graph Neural Networks
Although automatic text summarization (ATS) has been researched for several decades, the application of graph neural networks (GNNs) to this task started relatively recently. In this survey we provide an overview on the rapidly evolving approach of using GNNs for the task of automatic text summarization. In particular we provide detailed information on the functionality of GNNs in the context of ATS, and a comprehensive overview of models utilizing this approach.
Code (0)
등록된 구현이 없습니다.
Tasks
SurveyText SummarizationSimilar Papers 제목 키워드 기반
A Survey on Neural Network-Based Summarization Methods
Automatic text summarization, the automated process of shortening a text while reserving the main ideas of the document(s), is a critical research area in natural language processing. The aim of this literature review is…
SurveyText SummarizationWhat Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research
Automatic text summarization has enjoyed great progress over the years and is used in numerous applications, impacting the lives of many. Despite this development, there is little research that meaningfully investigates …
SurveyText SummarizationAutomatic Keyword Extraction for Text Summarization: A Survey
In recent times, data is growing rapidly in every domain such as news, social media, banking, education, etc. Due to the excessiveness of data, there is a need of automatic summarizer which will be capable to summarize t…
Keyword ExtractionSurveyText SummarizationText Summarization Techniques: A Brief Survey
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be us…
SurveyText SummarizationA Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP) algorithms, aims to create concise and accurate summaries, thereby significantly reducing the human effort required in processing large volu…
SurveyText Summarization