Results 101 to 110 of about 9,383 (202)
Abstractive Text Summarization Using GAN
In the field of natural language processing, the task of writing long concepts into short expressions has attracted attention due to its ability to simplify the processing and understanding of information. While traditional transcription techniques are effective to some extent, they often fail to capture the essence and nuances of the original texts ...
Tanushree Bharti +4 more
openaire +1 more source
Source Identification in Abstractive Summarization
Comment: EACL ...
Suhara, Yoshi, Alikaniotis, Dimitris
openaire +2 more sources
Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization. [PDF]
Goodwin TR, Savery ME, Demner-Fushman D.
europepmc +1 more source
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking [PDF]
Mohamed Elaraby +2 more
openalex +1 more source
Abstractive microblogs summarization
Microblogging is a new electronic communication medium based on short status updates containing personal and instant information. Due to the popularity of microblogs, the volume of information is enormous and big portion of it is duplicative or irrelevant.
openaire +1 more source
Automatic Text Summarization (ATS) systems aim to generate concise summaries of documents while preserving their essential aspects using either extractive or abstractive approaches.
Keerthana Murugaraj +2 more
doaj +1 more source
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks [PDF]
Chandra Khatri +2 more
openalex +1 more source
Review of ambiguity problem in text summarization using hybrid ACA and SLR
Text summarization is the process of creating a text summary that contains important information from a text document. In recent years, significant progress has been made in the field of text summarization research, along with the challenges that drive ...
Sutriawan Sutriawan +4 more
doaj +1 more source

