Results 31 to 40 of about 6,808 (273)

Review of automatic text summarization techniques & methods

Journal of King Saud University: Computer and Information Sciences, 2022
Text summarization automatically produces a summary containing important sentences and includes all relevant important information from the original document.
Adhika Pramita Widyassari, Supriadi Rustad, Guruh Fajar Shidik, Edi Noersasongko, Abdul Syukur, Affandy Affandy, De Rosal Ignatius Moses Setiadi   +6 more
doaj   +1 more source

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

, 2018
Generating a text abstract from a set of documents remains a challenging task. The neural encoder-decoder framework has recently been exploited to summarize single documents, but its success can in part be attributed to the availability of large parallel
Lebanoff, Logan, Liu, Fei, Song, Kaiqiang   +2 more
core   +1 more source

Abstractive Text Summarization Based on Neural Fusion

Proceedings of the International Florida Artificial Intelligence Research Society Conference
ive text summarization, in comparison to extractive text summarization, offers the potential to generate more accurate summaries. In our work, we present a stage-wise abstractive text summarization model that incorporates Elementary Discourse Unit (EDU ...
Yllias Chali, Wenzhao Zhu
doaj   +1 more source

Survey of Deep Learning Based Extractive Summarization [PDF]

Jisuanji kexue yu tansuo
Automatic text summarization (ATS) is a popular research direction in natural language processing, and its main implementation methods are divided into two categories: extractive and abstractive. Extractive summarization directly uses the text content in
TIAN Xuan, LI Jialiang, MENG Xiaohuan
doaj   +1 more source

Selective Encoding for Abstractive Sentence Summarization

, 2017
We propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization. It consists of a sentence encoder, a selective gate network, and an attention equipped decoder.
Wei, Furu, Yang, Nan, Zhou, Ming, Zhou, Qingyu   +3 more
core   +1 more source

Abstraction Based Text Summarization

International Journal of Advanced Research in Science, Communication and Technology
The goal of the summary of text is highlighting important details from the textual original. During this procedure, the user is given a succinct overview of the retrieved data as a condensed report. The text's substance is extremely challenging for people to comprehend and decipher. An extensive examination of abstractive text summarizing techniques is
null Dr. Nagabhushan S V, null Jeevitha M, null Manoj Kumar, null Archana S, null Likitha Naveen   +4 more
openaire   +1 more source

A Comprehensive Evaluation of Large Language Models for Turkish Abstractive Dialogue Summarization

IEEE Access
Text summarization is the task of generating a short and concise summary of a source text. In an abstractive text summarization, the generated summaries may potentially contain new phrases that do not appear in the source text.
Osman Buyuk
doaj   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

KATSum: Knowledge-aware Abstractive Text Summarization

, 2022
Text Summarization is recognised as one of the NLP downstream tasks and it has been extensively investigated in recent years. It can assist people with perceiving the information rapidly from the Internet, including news articles, social posts, videos, etc. Most existing research works attempt to develop summarization models to produce a better output.
Wang, Guan, Li, Weihua, Lai, Edmund, Jiang, Jianhua   +3 more
openaire   +2 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source