Results 51 to 60 of about 6,808 (273)

Abstractive Text Summarization in Arabic-Like Script Using Multi-Encoder Architecture and Semantic Extraction Techniques

IEEE Access
In the field of Natural Language Processing (NLP), the task of text summarization plays a vital role in understanding textual content and producing concise summaries.
Wajiha Fatima, Syed Saqib Raza Rizvi, Taher M. Ghazal, Qasem M. Kharma, Munir Ahmad, Sagheer Abbas, Muhammad Furqan, Khan Muhammad Adnan   +7 more
doaj   +1 more source

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

Computational Linguistics, 2022
The Query-Focused Text Summarization (QFTS) task aims at building systems that generate the summary of the text document(s) based on the given query. A key challenge in addressing this task is the lack of large labeled data for training the summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang   +2 more
doaj   +1 more source

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization

Future Internet, 2022
The emergence of attention-based architectures has led to significant improvements in the performance of neural sequence-to-sequence models for text summarization. Although these models have proved to be effective in summarizing English-written documents,
Moreno La Quatra, Luca Cagliero
doaj   +1 more source

Conceptual Framework for Abstractive Text Summarization

International Journal on Natural Language Computing, 2015
As the volume of information available on the Internet increases, there is a growing need for tools helping users to find, filter and manage these resources. While more and more textual information is available on- line, effective retrieval is difficult without proper indexing and summarization of the content.
Nikita Munot, Sharvari S. Govilkar
openaire   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

Benchmarking Large Language Models for Biomedical Literature Summarization: Abstractive Versus Extractive Paradigms

IEEE Access
Summarizing biomedical literature has become an important tool for researchers and healthcare professionals by increasing the speed of access to information.
Tugba Celikten, Aytug Onan
doaj   +1 more source

Performance Study on Extractive Text Summarization Using BERT Models

Information, 2022
The task of summarization can be categorized into two methods, extractive and abstractive. Extractive summarization selects the salient sentences from the original document to form a summary while abstractive summarization interprets the original ...
Shehab Abdel-Salam, Ahmed Rafea
doaj   +1 more source

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

Performance of Machine Learning Algorithms on Automatic Summarization of Indonesian Language Texts

JOIN: Jurnal Online Informatika
Automatic text summarization (ATS) has become an essential task for processing huge amounts of information efficiently. ATS has been extensively studied in resource-rich languages like English, but research on summarization for under-resourced languages,
Galih Wiratmoko, Husni Thamrin, Endang Wahyu Pamungkas   +2 more
doaj   +1 more source

A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning

Applied Sciences, 2019
As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive.
Qicai Wang, Peiyu Liu, Zhenfang Zhu, Hongxia Yin, Qiuyue Zhang, Lindong Zhang   +5 more
doaj   +1 more source