Abstractive text summarization: State of the art, challenges, and improvements
Specifically focusing on the landscape of abstractive text summarization, as opposed to
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
extractive techniques, this survey presents a comprehensive overview, delving into state-of …
Exploring the landscape of automatic text summarization: a comprehensive survey
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …
to automatically create summaries of enormous amounts of text so that readers can save …
Extractive text summarization using deep learning approach
Nowadays, voluminous unstructured data is steaming on the Web/social media. It is not easy
for individuals to find relevant information quickly from such a vast unstructured corpus. Text …
for individuals to find relevant information quickly from such a vast unstructured corpus. Text …
Intelligent compilation of patent summaries using machine learning and natural language processing techniques
Patents are a type of intellectual property with ownership and monopolistic rights that are
publicly accessible published documents, often with illustrations, registered by governments …
publicly accessible published documents, often with illustrations, registered by governments …
A survey on automatic text summarization
N Nazari, MA Mahdavi - Journal of AI and Data Mining, 2019 - jad.shahroodut.ac.ir
Text summarization endeavors to produce a summary version of a text, while maintaining
the original ideas. The textual content on the web, in particular, is growing at an exponential …
the original ideas. The textual content on the web, in particular, is growing at an exponential …
A semantic approach to extractive multi-document summarization: Applying sentence expansion for tuning of conceptual densities
Today, due to a vast amount of textual data, automated extractive text summarization is one
of the most common and practical techniques for organizing information. Extractive …
of the most common and practical techniques for organizing information. Extractive …
Sentence features relevance for extractive text summarization using genetic algorithms
E Vázquez… - Journal of Intelligent …, 2018 - content.iospress.com
Preprocessing, term selection, term weighting, sentence weighting, and sentence selection
are the main issues in generating extractive summaries of text sentences. Although many …
are the main issues in generating extractive summaries of text sentences. Although many …
Single-Document Abstractive Text Summarization: A Systematic Literature Review
Abstractive text summarization is a task in natural language processing that automatically
generates the summary from the source document in a human-written form with minimal loss …
generates the summary from the source document in a human-written form with minimal loss …
[BOOK][B] Artificial intelligence in accounting: Practical applications
Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to
provide accountants with a foundational understanding of AI and its many business and …
provide accountants with a foundational understanding of AI and its many business and …
Intelligent RFQ summarization using natural language processing, text mining, and machine learning techniques
Request for quotation (RFQ) is a lengthy document soliciting vendor products and services
according to rigid specifications. This research develops an integrated natural language …
according to rigid specifications. This research develops an integrated natural language …