Results 41 to 50 of about 6,808 (273)
Learning to Extract Coherent Summary via Deep Reinforcement Learning
, 2018 Coherence plays a critical role in producing a high-quality summary from a document. In recent years, neural extractive summarization is becoming increasingly attractive.
Hu, Baotian, Wu, Yuxiang
core +1 more source
Abstraction Based Text Summarization using NLTK
International Journal of Advanced Research in Science, Communication and Technology, 2022 As there is huge amount of content is produced in our day-to-day life using electronic devices in various form fields. The main problem arises from here huge form information once to analyzing and understanding the meaning of text become difficult and time taking, so the Text summarization is introduced.
null Mr. Anand Tilagul +3 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Automatic text summarization based on extractive-abstractive method
Радіоелектронні і комп'ютерні системи, 2023 The choice of this study has a significant impact on daily life. In various fields such as journalism, academia, business, and more, large amounts of text need to be processed quickly and efficiently.
Md. Ahsan Habib +4 more
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Leveraging Faithfulness in Abstractive Text Summarization with Elementary Discourse Units
Proceedings of the International Florida Artificial Intelligence Research Society Conferenceive text summarization uses the summarizer's own words to capture the main information of a source document in a summary. While it is more challenging to automate than extractive text summarization, recent advancements in deep learning approaches and pre-
Narjes Delpisheh, Yllias Chali
doaj +1 more source
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
, 2019 ive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence.
Lorré, Jean-Pierre +3 more
core +2 more sources
Abstractive Text Summarization using Deep Learning
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The number of text records has increased dramatically in recent years, and social media structures, including websites and mobile apps, will generate a huge amount of statistics about non-text content. structure, including blogs, discussion forum posts, technical guides, and more.
Rishank Tambe +5 more
openaire +1 more source
Active Learning for Abstractive Text Summarization
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Construction of human-curated annotated datasets for abstractive text summarization (ATS) is very time-consuming and expensive because creating each instance requires a human annotator to read a long document and compose a shorter summary that would preserve the key information relayed by the original document.
Tsvigun, Akim +11 more
openaire +2 more sources
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source